[edit]
[edit]
Editors: Neil D. Lawrence, Mark Girolami
Preface
; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:i-v
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Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits
Yasin Abbasi-Yadkori, David Pal, Csaba Szepesvari; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1-9
Discriminative Mixtures of Sparse Latent Fields for Risk Management
Felix Agakov, Peter Orchard, Amos Storkey; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:10-18
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Contextual Bandit Learning with Predictable Rewards
Alekh Agarwal, Miroslav Dudik, Satyen Kale, John Langford, Robert Schapire; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:19-26
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Sparse Higher-Order Principal Components Analysis
Genevera Allen; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:27-36
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Factorized Diffusion Map Approximation
Saeed Amizadeh, Hamed Valizadegan, Milos Hauskrecht; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:37-46
Memory-efficient inference in dynamic graphical models using multiple cores
Galen Andrew, Jeff Bilmes; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:47-53
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Graphlet decomposition of a weighted network
Hossein Azari Soufiani, Edo Airoldi; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:54-63
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Minimax rates for homology inference
Sivaraman Balakrishnan, Alesandro Rinaldo, Don Sheehy, Aarti Singh, Larry Wasserman; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:64-72
Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection
Guha Balakrishnan, Zeeshan Syed; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:73-81
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A General Framework for Structured Sparsity via Proximal Optimization
Luca Baldassarre, Jean Morales, Andreas Argyriou, Massimiliano Pontil; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:82-90
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Adaptive Metropolis with Online Relabeling
Remi Bardenet, Olivier Cappe, Gersende Fort, Balazs Kegl; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:91-99
Controlling Selection Bias in Causal Inference
Elias Bareinboim, Judea Pearl; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:100-108
CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels
Wei Bian, Bo Xie, Dacheng Tao; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:109-117
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History-alignment models for bias-aware prediction of virological response to HIV combination therapy
Jasmina Bogojeska, Daniel Stockel, Maurizio Zazzi, Rolf Kaiser, Francesca Incardona, Michal Rosen-Zvi, Thomas Lengauer; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:118-126
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:127-135
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Sample Complexity of Composite Likelihood
Joseph Bradley, Carlos Guestrin; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:136-160
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A Family of MCMC Methods on Implicitly Defined Manifolds
Marcus Brubaker, Mathieu Salzmann, Raquel Urtasun; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:161-172
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On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
David Buchman, Mark Schmidt, Shakir Mohamed, David Poole, Nando De Freitas; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:173-181
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Optimistic planning for Markov decision processes
Lucian Busoniu, Remi Munos; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:182-189
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
Alexandra Carpentier, Remi Munos; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:190-198
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Structured Sparse Canonical Correlation Analysis
Xi Chen, Liu Han, Jaime Carbonell; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:199-207
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A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping
Xiaohui Chen, Xinghua Shi, Xing Xu, Zhiyong Wang, Ryan Mills, Charles Lee, Jinbo Xu; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:208-217
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Classifier Cascade for Minimizing Feature Evaluation Cost
Minmin Chen, Zhixiang Xu, Kilian Weinberger, Olivier Chapelle, Dor Kedem; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:218-226
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Online Clustering with Experts
Anna Choromanska, Claire Monteleoni; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:227-235
Minimax hypothesis testing for curve registration
Olivier Collier; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:236-245
Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression
Bryan Conroy, Paul Sajda; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:246-254
Gaussian Processes for time-marked time-series data
John Cunningham, Zoubin Ghahramani, Carl Rasmussen; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:255-263
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Wilks’ phenomenon and penalized likelihood-ratio test for nonparametric curve registration
Arnak Dalalyan, Olivier Collier; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:264-272
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Hierarchical Relative Entropy Policy Search
Christian Daniel, Gerhard Neumann, Jan Peters; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:273-281
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Protocols for Learning Classifiers on Distributed Data
Hal Daume III, Jeff Phillips, Avishek Saha, Suresh Venkatasubramanian; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:282-290
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There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems
Ofer Dekel, Ohad Shamir; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:291-298
Deterministic Annealing for Semi-Supervised Structured Output Learning
Paramveer Dhillon, Sathiya Keerthi, Kedar Bellare, Olivier Chapelle, Sundararajan Sellamanickam; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:299-307
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A metric learning perspective of SVM: on the relation of LMNN and SVM
Huyen Do, Alexandros Kalousis, Jun Wang, Adam Woznica; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:308-317
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Generic Methods for Optimization-Based Modeling
Justin Domke; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:318-326
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Lifted coordinate descent for learning with trace-norm regularization
Miroslav Dudik, Zaid Harchaoui, Jerome Malick; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:327-336
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space
Robert Durrant, Ata Kaban; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:337-345
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Copula Network Classifiers (CNCs)
Gal Elidan; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:346-354
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Lightning-speed Structure Learning of Nonlinear Continuous Networks
Gal Elidan; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:355-363
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Statistical test for consistent estimation of causal effects in linear non-Gaussian models
Doris Entner, Patrik Hoyer, Peter Spirtes; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:364-372
High-Rank Matrix Completion
Brian Eriksson, Laura Balzano, Robert Nowak; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:373-381
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No Internal Regret via Neighborhood Watch
Dean Foster, Alexander Rakhlin; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:382-390
Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields
Antonino Freno; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:391-399
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Factorized Asymptotic Bayesian Inference for Mixture Modeling
Ryohei Fujimaki, Satoshi Morinaga; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:400-408
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Hierarchical Latent Dictionaries for Models of Brain Activation
Alona Fyshe, Emily Fox, David Dunson, Tom Mitchell; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:409-421
UPAL: Unbiased Pool Based Active Learning
Ravi Ganti, Alexander Gray; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:422-431
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Regularization Paths with Guarantees for Convex Semidefinite Optimization
Joachim Giesen, Martin Jaggi, Soeren Laue; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:432-439
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Scalable Inference on Kingman’s Coalescent using Pair Similarity
Dilan Gorur, Levi Boyles, Max Welling; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:440-448
On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems
Yuri Grinberg, Doina Precup; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:449-457
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SpeedBoost: Anytime Prediction with Uniform Near-Optimality
Alex Grubb, Drew Bagnell; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:458-466
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Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
Marco Grzegorzyk, Dirk Husmeier; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:467-476
Locality Preserving Feature Learning
Quanquan Gu, Marina Danilevsky, Zhenhui Li, Jiawei Han; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:477-485
Evaluation of marginal likelihoods via the density of states
Michael Habeck; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:486-494
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Information Theoretic Model Validation for Spectral Clustering
Morteza Haghir Chehreghani, Alberto Giovanni Busetto, Joachim M. Buhmann; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:495-503
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Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior
Fares Hedayati, Peter Bartlett; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:504-510
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Kernel Topic Models
Philipp Hennig, David Stern, Ralf Herbrich, Thore Graepel; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:511-519
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Maximum Margin Temporal Clustering
Minh Hoai, Fernando De La Torre; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:520-528
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Stochastic Bandit Based on Empirical Moments
Junya Honda, Akimichi Takemura; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:529-537
Variable Selection for Gaussian Graphical Models
Jean Honorio, Dimitris Samaras, Irina Rish, Guillermo Cecchi; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:538-546
Subset Infinite Relational Models
Katsuhiko Ishiguro, Naonori Ueda, Hiroshi Sawada; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:547-555
A Variance Minimization Criterion to Active Learning on Graphs
Ming Ji, Jiawei Han; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:556-564
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Detecting Network Cliques with Radon Basis Pursuit
Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas Guibas; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:565-573
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High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods
Christopher Johnson, Ali Jalali, Pradeep Ravikumar; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:574-582
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Random Feature Maps for Dot Product Kernels
Purushottam Kar, Harish Karnick; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:583-591
On Bayesian Upper Confidence Bounds for Bandit Problems
Emilie Kaufmann, Olivier Cappe, Aurelien Garivier; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:592-600
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Online Clustering of Processes
Azadeh Khaleghi, Daniil Ryabko, Jeremie Mary, Philippe Preux; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:601-609
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A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
Mohammad Khan, Shakir Mohamed, Benjamin Marlin, Kevin Murphy; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:610-618
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Bayesian Classifier Combination
Hyun-Chul Kim, Zoubin Ghahramani; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:619-627
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Regression for sets of polynomial equations
Franz Kiraly, Paul Von Buenau, Jan Muller, Duncan Blythe, Frank Meinecke, Klaus-Robert Muller; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:628-637
Multiple Texture Boltzmann Machines
Jyri Kivinen, Christopher Williams; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:638-646
Marginal Regression For Multitask Learning
Mladen Kolar, Han Liu; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:647-655
Message-Passing Algorithms for MAP Estimation Using DC Programming
Akshat Kumar, Shlomo Zilberstein, Marc Toussaint; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:656-664
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
Alexandre Lacoste, Francois Laviolette, Mario Marchand; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:665-675
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Efficient Hypergraph Clustering
Marius Leordeanu, Cristian Sminchisescu; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:676-684
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Data dependent kernels in nearly-linear time
Guy Lever, Tom Diethe, John Shawe-Taylor; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:685-693
Efficient Sampling from Combinatorial Space via Bridging
Dahua Lin, John Fisher; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:694-702
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation
Guangcan Liu, Huan Xu, Shuicheng Yan; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:703-711
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields
Jie Liu, Chunming Zhang, Catherine Mccarty, Peggy Peissig, Elizabeth Burnside, David Page; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:712-721
A Simple Geometric Interpretation of SVM using Stochastic Adversaries
Roi Livni, Koby Crammer, Amir Globerson; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:722-730
Closed-Form Entropy Limits - A Tool to Monitor Likelihood Optimization of Probabilistic Generative Models
Jorg Lucke, Marc Henniges; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:731-740
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Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling
Jaakko Luttinen, Alexander Ilin; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:741-750
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Adaptive MCMC with Bayesian Optimization
Nimalan Mahendran, Ziyu Wang, Firas Hamze, Nando De Freitas; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:751-760
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Movement Segmentation and Recognition for Imitation Learning
Franziska Meier, Evangelos Theodorou, Stefan Schaal; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:761-769
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Globally Optimizing Graph Partitioning Problems Using Message Passing
Elad Mezuman, Yair Weiss; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:770-778
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Max-Margin Min-Entropy Models
Kevin Miller, M. Pawan Kumar, Ben Packer, Danny Goodman, Daphne Koller; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:779-787
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Lifted Linear Programming
Martin Mladenov, Babak Ahmadi, Kristian Kersting; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:788-797
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Deep Boltzmann Machines as Feed-Forward Hierarchies
Gregoire Montavon, Mikio Braun, Klaus-Robert Muller; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:798-804
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The adversarial stochastic shortest path problem with unknown transition probabilities
Gergely Neu, Andras Gyorgy, Csaba Szepesvari; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:805-813
A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views
Donglin Niu, Jennifer Dy, Zoubin Ghahramani; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:814-822
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Beyond Logarithmic Bounds in Online Learning
Francesco Orabona, Nicolo Cesa-Bianchi, Claudio Gentile; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:823-831
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Bayesian Quadrature for Ratios
Michael Osborne, Roman Garnett, Stephen Roberts, Christopher Hart, Suzanne Aigrain, Neale Gibson; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:832-840
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Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis
Zhijian Ou, Yang Zhang; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:841-849
Stick-Breaking Beta Processes and the Poisson Process
John Paisley, David Blei, Michael Jordan; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:850-858
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On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap
Alexander Paprotny, Jochen Garcke; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:859-867
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope
Jian Peng, Tamir Hazan, Nathan Srebro, Jinbo Xu; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:868-876
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Part & Clamp: Efficient Structured Output Learning
Patrick Pletscher, Cheng Soon Ong; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:877-885
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Learning Low-order Models for Enforcing High-order Statistics
Patrick Pletscher, Pushmeet Kohli; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:886-894
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Fast interior-point inference in high-dimensional sparse, penalized state-space models
Eftychios Pnevmatikakis, Liam Paninski; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:895-904
Informative Priors for Markov Blanket Discovery
Adam Pocock, Mikel Lujan, Gavin Brown; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:905-913
Nonparametric Estimation of Conditional Information and Divergences
Barnabas Poczos, Jeff Schneider; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:914-923
Deep Learning Made Easier by Linear Transformations in Perceptrons
Tapani Raiko, Harri Valpola, Yann Lecun; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:924-932
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A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
Arun Rajkumar, Shivani Agarwal; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:933-941
Universal Measurement Bounds for Structured Sparse Signal Recovery
Nikhil Rao, Ben Recht, Robert Nowak; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:942-950
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Exploiting Unrelated Tasks in Multi-Task Learning
Bernardino Romera Paredes, Andreas Argyriou, Nadia Berthouze, Massimiliano Pontil; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:951-959
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Domain Adaptation: A Small Sample Statistical Approach
Ruslan Salakhutdinov, Sham Kakade, Dean Foster; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:960-968
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Local Anomaly Detection
Venkatesh Saligrama, Manqi Zhao; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:969-983
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Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
Avneesh Saluja, Priya Krishnan Sundararajan, Ole J Mengshoel; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:984-992
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Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression
Simo Sarkka, Jouni Hartikainen; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:993-1001
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
Martin Schiegg, Marion Neumann, Kristian Kersting; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1002-1011
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Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models
Matthias Seeger, Guillaume Bouchard; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1012-1018
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Using More Data to Speed-up Training Time
Shai Shalev-Shwartz, Ohad Shamir, Eran Tromer; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1019-1027
Sparsistency of the Edge Lasso over Graphs
James Sharpnack, Aarti Singh, Alessandro Rinaldo; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1028-1036
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Complexity of Bethe Approximation
Jinwoo Shin; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1037-1045
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Multi-armed Bandit Problems with History
Pannagadatta Shivaswamy, Thorsten Joachims; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1046-1054
On Bisubmodular Maximization
Ajit Singh, Andrew Guillory, Jeff Bilmes; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1055-1063
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Low rank continuous-space graphical models
Carl Smith, Frank Wood, Liam Paninski; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1064-1072
On Nonparametric Guidance for Learning Autoencoder Representations
Jasper Snoek, Ryan Adams, Hugo Larochelle; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1073-1080
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Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization
Kyung-Ah Sohn, Seyoung Kim; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1081-1089
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Consistency and Rates for Clustering with DBSCAN
Bharath Sriperumbudur, Ingo Steinwart; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1090-1098
Testing for Membership to the IFRA and the NBU Classes of Distributions
Radhendushka Srivastava, Ping Li, Debasis Sengupta; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1099-1107
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Flexible Martingale Priors for Deep Hierarchies
Jacob Steinhardt, Zoubin Ghahramani; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1108-1116
Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach
Florian Stimberg, Andreas Ruttor, Manfred Opper; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1117-1124
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Learning Fourier Sparse Set Functions
Peter Stobbe, Andreas Krause; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1125-1133
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Efficient and Exact MAP-MRF Inference using Branch and Bound
Min Sun, Murali Telaprolu, Honglak Lee, Silvio Savarese; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1134-1142
Constrained 1-Spectral Clustering
Syama Sundar Rangapuram, Matthias Hein; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1143-1151
Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness
Taiji Suzuki, Masashi Sugiyama; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1152-1183
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On Estimation and Selection for Topic Models
Matt Taddy; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1184-1193
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Lifted Variable Elimination with Arbitrary Constraints
Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1194-1202
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Multiresolution Deep Belief Networks
Yichuan Tang, Abdel-Rahman Mohamed; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1203-1211
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Structured Output Learning with High Order Loss Functions
Daniel Tarlow, Richard Zemel; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1212-1220
Randomized Optimum Models for Structured Prediction
Daniel Tarlow, Ryan Adams, Richard Zemel; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1221-1229
Fast Variational Mode-Seeking
Bo Thiesson, Jingu Kim; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1230-1242
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A Bayesian Analysis of the Radioactive Releases of Fukushima
Ryota Tomioka, Morten Mrup; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1243-1251
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Learning from Weak Teachers
Ruth Urner, Shai Ben David, Ohad Shamir; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1252-1260
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Krylov Subspace Descent for Deep Learning
Oriol Vinyals, Daniel Povey; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1261-1268
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Bayesian Group Factor Analysis
Seppo Virtanen, Arto Klami, Suleiman Khan, Samuel Kaski; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1269-1277
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Minimax Rates of Estimation for Sparse PCA in High Dimensions
Vincent Vu, Jing Lei; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1278-1286
A Hybrid Neural Network-Latent Topic Model
Li Wan, Leo Zhu, Rob Fergus; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1287-1294
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Nonlinear low-dimensional regression using auxiliary coordinates
Weiran Wang, Miguel Carreira-Perpinan; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1295-1304
Generalized Optimal Reverse Prediction
Martha White, Dale Schuurmans; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1305-1313
Causality with Gates
John Winn; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1314-1322
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Primal-Dual methods for sparse constrained matrix completion
Yu Xin, Tommi Jaakkola; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1323-1331
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Statistical Optimization in High Dimensions
Huan Xu, Constantine Caramanis, Shie Mannor; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1332-1340
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Robust Multi-task Regression with Grossly Corrupted Observations
Huan Xu, Chenlei Leng; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1341-1349
Active Learning from Multiple Knowledge Sources
Yan Yan, Romer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer Dy; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1350-1357
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Perturbation based Large Margin Approach for Ranking
Eunho Yang, Ambuj Tewari, Pradeep Ravikumar; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1358-1366
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Transductive Learning of Structural SVMs via Prior Knowledge Constraints
Chun-Nam Yu; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1367-1376
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Forward Basis Selection for Sparse Approximation over Dictionary
Xiaotong Yuan, Shuicheng Yan; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1377-1388
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Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs
Hyokun Yun, S V N Vishwanathan; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1389-1397
Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers
Caoxie Zhang, Honglak Lee, Kang Shin; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1398-1406
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A Composite Likelihood View for Multi-Label Classification
Yi Zhang, Jeff Schneider; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1407-1415
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An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling
Zhihua Zhang, Dakan Wang, Edward Chang; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1416-1424
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Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach
Kai Zhang, Liang Lan, Zhuang Wang, Fabian Moerchen; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1425-1434
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Sparse Additive Machine
Tuo Zhao, Han Liu; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1435-1443
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Multi-label Subspace Ensemble
Tianyi Zhou, Dacheng Tao; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1444-1452
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Online Incremental Feature Learning with Denoising Autoencoders
Guanyu Zhou, Kihyuk Sohn, Honglak Lee; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1453-1461
Beta-Negative Binomial Process and Poisson Factor Analysis
Mingyuan Zhou, Lauren Hannah, David Dunson, Lawrence Carin; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1462-1471
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Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
J. Zico Kolter, Tommi Jaakkola; Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, PMLR 22:1472-1482
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