[edit]
[edit]
Editors: Guy Lebanon, S. V. N. Vishwanathan
Filter Authors: Filter Titles:
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices
; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1-9
[abs][Download PDF]
Parameter Estimation of Generalized Linear Models without Assuming their Link Function
Sreangsu Acharyya, Joydeep Ghosh; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:10-18
[abs][Download PDF]
Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method
David Anderson, Simon Du, Michael Mahoney, Christopher Melgaard, Kunming Wu, Ming Gu; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:19-27
Global Multi-armed Bandits with Hölder Continuity
Onur Atan, Cem Tekin, Mihaela van der Schaar; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:28-36
Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures
Martin Azizyan, Aarti Singh, Larry Wasserman; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:37-45
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees
Stephen Bach, Bert Huang, Lise Getoor; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:46-55
Near-optimal max-affine estimators for convex regression
Gabor Balazs, András György, Csaba Szepesvari; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:56-64
Convex Multi-Task Learning by Clustering
Aviad Barzilai, Koby Crammer; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:65-73
[abs][Download PDF]
Gaussian Processes for Bayesian hypothesis tests on regression functions
Alessio Benavoli, Francesca Mangili; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:74-82
[abs][Download PDF]
Sparse Solutions to Nonnegative Linear Systems and Applications
Aditya Bhaskara, Ananda Suresh, Morteza Zadimoghaddam; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:83-92
Generalized Linear Models for Aggregated Data
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:93-101
[abs][Download PDF]
Accurate and conservative estimates of MRF log-likelihood using reverse annealing
Yuri Burda, Roger Grosse, Ruslan Salakhutdinov; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:102-110
[abs][Download PDF]
Stochastic Spectral Descent for Restricted Boltzmann Machines
David Carlson, Volkan Cevher, Lawrence Carin; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:111-119
Implementable confidence sets in high dimensional regression
Alexandra Carpentier; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:120-128
[abs][Download PDF]
Online Ranking with Top-1 Feedback
Sougata Chaudhuri, Ambuj Tewari; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:129-137
One-bit Compressed Sensing with the k-Support Norm
Sheng Chen, Arindam Banerjee; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:138-146
[abs][Download PDF]
Efficient Second-Order Gradient Boosting for Conditional Random Fields
Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:147-155
Filtered Search for Submodular Maximization with Controllable Approximation Bounds
Wenlin Chen, Yixin Chen, Kilian Weinberger; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:156-164
[abs][Download PDF]
Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems
Xiangli Chen, Brian Ziebart; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:165-173
Exact Bayesian Learning of Ancestor Relations in Bayesian Networks
Yetian Chen, Lingjian Meng, Jin Tian; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:174-182
Model Selection for Topic Models via Spectral Decomposition
Dehua Cheng, Xinran He, Yan Liu; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:183-191
The Loss Surfaces of Multilayer Networks
Anna Choromanska, MIkael Henaff, Michael Mathieu, Gerard Ben Arous, Yann LeCun; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:192-204
[abs][Download PDF]
Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions
Alexandre Defossez, Francis Bach; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:205-213
A Topic Modeling Approach to Ranking
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:214-222
A totally unimodular view of structured sparsity
Marwa El Halabi, Volkan Cevher; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:223-231
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades
Mehrdad Farajtabar, Manuel Gomez Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha, Le Song; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:232-240
Graph Approximation and Clustering on a Budget
Ethan Fetaya, Ohad Shamir, Shimon Ullman; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:241-249
A Sufficient Statistics Construction of Exponential Family Lévy Measure Densities for Nonparametric Conjugate Models
Robert Finn, Brian Kulis; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:250-258
Computational Complexity of Linear Large Margin Classification With Ramp Loss
Søren Frejstrup Maibing, Christian Igel; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:259-267
[abs][Download PDF]
Learning Deep Sigmoid Belief Networks with Data Augmentation
Zhe Gan, Ricardo Henao, David Carlson, Lawrence Carin; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:268-276
Efficient Estimation of Mutual Information for Strongly Dependent Variables
Shuyang Gao, Greg Ver Steeg, Aram Galstyan; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:277-286
On Anomaly Ranking and Excess-Mass Curves
Nicolas Goix, Anne Sabourin, Stéphan Clémençon; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:287-295
Modeling Skill Acquisition Over Time with Sequence and Topic Modeling
José González-Brenes; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:296-305
[abs][Download PDF]
Consistent Collective Matrix Completion under Joint Low Rank Structure
Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:306-314
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation
Fangjian Guo, Charles Blundell, Hanna Wallach, Katherine Heller; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:315-323
Preserving Privacy of Continuous High-dimensional Data with Minimax Filters
Jihun Hamm; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:324-332
[abs][Download PDF]
A Consistent Method for Graph Based Anomaly Localization
Satoshi Hara, Tetsuro Morimura, Toshihiro Takahashi, Hiroki Yanagisawa, Taiji Suzuki; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:333-341
Metric recovery from directed unweighted graphs
Tatsunori Hashimoto, Yi Sun, Tommi Jaakkola; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:342-350
Scalable Variational Gaussian Process Classification
James Hensman, Alexander Matthews, Zoubin Ghahramani; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:351-360
Stochastic Structured Variational Inference
Matthew Hoffman, David Blei; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:361-369
Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process
Michael Hughes, Dae Il Kim, Erik Sudderth; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:370-378
Cross-domain recommendation without shared users or items by sharing latent vector distributions
Tomoharu Iwata, Takeuchi Koh; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:379-387
[abs][Download PDF]
Submodular Point Processes with Applications to Machine learning
Rishabh Iyer, Jeffrey Bilmes; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:388-397
[abs][Download PDF]
Online Optimization : Competing with Dynamic Comparators
Ali Jadbabaie, Alexander Rakhlin, Shahin Shahrampour, Karthik Sridharan; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:398-406
Estimating the accuracies of multiple classifiers without labeled data
Ariel Jaffe, Boaz Nadler, Yuval Kluger; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:407-415
Sparse Dueling Bandits
Kevin Jamieson, Sumeet Katariya, Atul Deshpande, Robert Nowak; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:416-424
Consensus Message Passing for Layered Graphical Models
Varun Jampani, S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John Winn; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:425-433
Robust Cost Sensitive Support Vector Machine
Shuichi Katsumata, Akiko Takeda; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:434-443
On Approximate Non-submodular Minimization via Tree-Structured Supermodularity
Yoshinobu Kawahara, Rishabh Iyer, Jeffrey Bilmes; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:444-452
Sparse Submodular Probabilistic PCA
Rajiv Khanna, Joydeep Ghosh, Russell Poldrack, Oluwasanmi Koyejo; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:453-461
Latent feature regression for multivariate count data
Arto Klami, Abhishek Tripathi, Johannes Sirola, Lauri Väre, Frederic Roulland; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:462-470
[abs][Download PDF]
Dimensionality estimation without distances
Matthäus Kleindessner, Ulrike Luxburg; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:471-479
[abs][Download PDF]
A Bayes consistent 1-NN classifier
Aryeh Kontorovich, Roi Weiss; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:480-488
[abs][Download PDF]
DART: Dropouts meet Multiple Additive Regression Trees
Rashmi Korlakai Vinayak, Ran Gilad-Bachrach; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:489-497
[abs][Download PDF]
On Estimating L_2^2 Divergence
Akshay Krishnamurthy, Kirthevasan Kandasamy, Barnabas Poczos, Larry Wasserman; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:498-506
Tensor Factorization via Matrix Factorization
Volodymyr Kuleshov, Arun Chaganty, Percy Liang; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:507-516
Low-Rank Spectral Learning with Weighted Loss Functions
Alex Kulesza, Nan Jiang, Satinder Singh; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:517-525
[abs][Download PDF]
Symmetric Iterative Proportional Fitting
Sven Kurras; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:526-534
Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits
Branislav Kveton, Zheng Wen, Azin Ashkan, Csaba Szepesvari; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:535-543
Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering
Simon Lacoste-Julien, Fredrik Lindsten, Francis Bach; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:544-552
Particle Gibbs for Bayesian Additive Regression Trees
Balaji Lakshminarayanan, Daniel Roy, Yee Whye Teh; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:553-561
Deeply-Supervised Nets
Chen-Yu Lee, Saining Xie, Patrick Gallagher, Zhengyou Zhang, Zhuowen Tu; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:562-570
[abs][Download PDF]
Preferential Attachment in Graphs with Affinities
Jay Lee, Manzil Zaheer, Stephan Günnemann, Alex Smola; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:571-580
Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility
Juho Lee, Seungjin Choi; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:581-589
Modelling Policies in MDPs in Reproducing Kernel Hilbert Space
Guy Lever, Ronnie Stafford; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:590-598
Scalable Optimization of Randomized Operational Decisions in Adversarial Classification Settings
Bo Li, Yevgeniy Vorobeychik; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:599-607
Toward Minimax Off-policy Value Estimation
Lihong Li, Remi Munos, Csaba Szepesvari; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:608-616
Compressed Sensing with Very Sparse Gaussian Random Projections
Ping Li, Cun-Hui Zhang; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:617-625
[abs][Download PDF]
Max-Margin Zero-Shot Learning for Multi-class Classification
Xin Li, Yuhong Guo; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:626-634
[abs][Download PDF]
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels
Xin Li, Feipeng Zhao, Yuhong Guo; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:635-643
[abs][Download PDF]
Sparsistency of \ell_1-Regularized M-Estimators
Yen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar, Volkan Cevher; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:644-652
Similarity Learning for High-Dimensional Sparse Data
Kuan Liu, Aurélien Bellet, Fei Sha; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:653-662
[abs][Download PDF]
Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning
Mario Lucic, Mesrob Ohannessian, Amin Karbasi, Andreas Krause; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:663-671
Active Pointillistic Pattern Search
Yifei Ma, Danica J. Sutherland, Roman Garnett, Jeff Schneider; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:672-680
The Security of Latent Dirichlet Allocation
Shike Mei, Xiaojin Zhu; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:681-689
A Spectral Algorithm for Inference in Hidden semi-Markov Models
Igor Melnyk, Arindam Banerjee; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:690-698
Efficient Training of Structured SVMs via Soft Constraints
Ofer Meshi, Nathan Srebro, Tamir Hazan; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:699-707
Variance Reduction via Antithetic Markov Chains
James Neufeld, Dale Schuurmans, Michael Bowling; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:708-716
Fast Function to Function Regression
Junier Oliva, William Neiswanger, Barnabas Poczos, Eric Xing, Hy Trac, Shirley Ho, Jeff Schneider; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:717-725
Reactive bandits with attitude
Pedro Ortega, Kee-Eung Kim, Daniel Lee; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:726-734
[abs][Download PDF]
Feature Selection for Linear SVM with Provable Guarantees
Saurabh Paul, Malik Magdon-Ismail, Petros Drineas; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:735-743
On Theoretical Properties of Sum-Product Networks
Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf, Pedro Domingos; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:744-752
Robust sketching for multiple square-root LASSO problems
Vu Pham, Laurent El Ghaoui; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:753-761
[abs][Download PDF]
Deep Exponential Families
Rajesh Ranganath, Linpeng Tang, Laurent Charlin, David Blei; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:762-771
On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives
Sashank Reddi, Aaditya Ramdas, Barnabas Poczos, Aarti Singh, Larry Wasserman; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:772-780
A Scalable Algorithm for Structured Kernel Feature Selection
Shaogang Ren, Shuai Huang, John Onofrey, Xenios Papademetris, Xiaoning Qian; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:781-789
Learning Efficient Anomaly Detectors from K-NN Graphs
Jonathan Root, Jing Qian, Venkatesh Saligrama; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:790-799
Gamma Processes, Stick-Breaking, and Variational Inference
Anirban Roychowdhury, Brian Kulis; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:800-808
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation
Hiroaki Sasaki, Yung-Kyun Noh, Masashi Sugiyama; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:809-818
[abs][Download PDF]
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields
Mark Schmidt, Reza Babanezhad, Mohamed Ahmed, Aaron Defazio, Ann Clifton, Anoop Sarkar; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:819-828
Sensor Selection for Crowdsensing Dynamical Systems
Francois Schnitzler, Jia Yuan Yu, Shie Mannor; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:829-837
A Rate of Convergence for Mixture Proportion Estimation, with Application to Learning from Noisy Labels
Clayton Scott; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:838-846
[abs][Download PDF]
Inference of Cause and Effect with Unsupervised Inverse Regression
Eleni Sgouritsa, Dominik Janzing, Philipp Hennig, Bernhard Schölkopf; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:847-855
[abs][Download PDF]
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence
Nihar Shah, Sivaraman Balakrishnan, Joseph Bradley, Abhay Parekh, Kannan Ramchandran, Martin Wainwright; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:856-865
Exploiting Symmetries to Construct Efficient MCMC Algorithms With an Application to SLAM
Roshan Shariff, András György, Csaba Szepesvari; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:866-874
Learning Where to Sample in Structured Prediction
Tianlin Shi, Jacob Steinhardt, Percy Liang; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:875-884
[abs][Download PDF]
State Space Methods for Efficient Inference in Student-t Process Regression
Arno Solin, Simo Särkkä; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:885-893
Learning from Data with Heterogeneous Noise using SGD
Shuang Song, Kamalika Chaudhuri, Anand Sarwate; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:894-902
Data modeling with the elliptical gamma distribution
Suvrit Sra, Reshad Hosseini, Lucas Theis, Matthias Bethge; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:903-911
[abs][Download PDF]
WASP: Scalable Bayes via barycenters of subset posteriors
Sanvesh Srivastava, Volkan Cevher, Quoc Dinh, David Dunson; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:912-920
Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields
Julien Stoehr, Nial Friel; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:921-929
[abs][Download PDF]
A Dirichlet Process Mixture Model for Spherical Data
Julian Straub, Jason Chang, Oren Freifeld, John Fisher III; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:930-938
Inferring Block Structure of Graphical Models in Exponential Families
Siqi Sun, Hai Wang, Jinbo Xu; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:939-947
Two-stage sampled learning theory on distributions
Zoltan Szabo, Arthur Gretton, Barnabas Poczos, Bharath Sriperumbudur; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:948-957
Predicting Preference Reversals via Gaussian Process Uncertainty Aversion
Rikiya Takahashi, Tetsuro Morimura; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:958-967
Streaming Variational Inference for Bayesian Nonparametric Mixture Models
Alex Tank, Nicholas Foti, Emily Fox; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:968-976
Missing at Random in Graphical Models
Jin Tian; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:977-985
[abs][Download PDF]
Particle Gibbs with Ancestor Sampling for Probabilistic Programs
Jan-Willem Meent, Hongseok Yang, Vikash Mansinghka, Frank Wood; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:986-994
[abs][Download PDF]
Learning of Non-Parametric Control Policies with High-Dimensional State Features
Herke Van Hoof, Jan Peters, Gerhard Neumann; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:995-1003
Maximally Informative Hierarchical Representations of High-Dimensional Data
Greg Ver Steeg, Aram Galstyan; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1004-1012
Falling Rule Lists
Fulton Wang, Cynthia Rudin; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1013-1022
Multi-Manifold Modeling in Non-Euclidean spaces
Xu Wang, Konstantinos Slavakis, Gilad Lerman; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1023-1032
[abs][Download PDF]
Column Subset Selection with Missing Data via Active Sampling
Yining Wang, Aarti Singh; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1033-1041
Trend Filtering on Graphs
Yu-Xiang Wang, James Sharpnack, Alex Smola, Ryan Tibshirani; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1042-1050
A Greedy Homotopy Method for Regression with Nonconvex Constraints
Fabian Wauthier, Peter Donnelly; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1051-1060
Revisiting the Limits of MAP Inference by MWSS on Perfect Graphs
Adrian Weller; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1061-1069
[abs][Download PDF]
Understanding and Evaluating Sparse Linear Discriminant Analysis
Yi Wu, David Wipf, Jeong-Min Yun; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1070-1078
Stochastic Block Transition Models for Dynamic Networks
Kevin Xu; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1079-1087
Majorization-Minimization for Manifold Embedding
Zhirong Yang, Jaakko Peltonen, Samuel Kaski; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1088-1097
A la Carte – Learning Fast Kernels
Zichao Yang, Andrew Wilson, Alex Smola, Le Song; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1098-1106
Minimizing Nonconvex Non-Separable Functions
Yaoliang Yu, Xun Zheng, Micol Marchetti-Bowick, Eric Xing; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1107-1115
A Simple Homotopy Algorithm for Compressive Sensing
Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1116-1124
Scalable Nonparametric Multiway Data Analysis
Shandian Zhe, Zenglin Xu, Xinqi Chu, Yuan Qi, Youngja Park; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1125-1134
[abs][Download PDF]
Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction
Mingyuan Zhou; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1135-1143
Power-Law Graph Cuts
Xiangyang Zhou, Jiaxin Zhang, Brian Kulis; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1144-1152
[abs][Download PDF]
The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models
Yuancheng Zhu, Rina Foygel Barber; Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:1153-1161
此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。