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Editors: Jonas Peters, David Sontag
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Semi-supervised learning, causality, and the conditional cluster assumption
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1-10
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise
Yue Wang, Shaofeng Zou; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:11-20
PAC-Bayesian Contrastive Unsupervised Representation Learning
Kento Nozawa, Pascal Germain, Benjamin Guedj; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:21-30
Static and Dynamic Values of Computation in MCTS
Eren Sezener, Peter Dayan; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:31-40
Kernel Conditional Moment Test via Maximum Moment Restriction
Krikamol Muandet, Wittawat Jitkrittum, Jonas Kübler; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:41-50
Bounding the expected run-time of nonconvex optimization with early stopping
Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D’Imperio, Shinjae Yoo; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:51-60
Amortized variance reduction for doubly stochastic objective
Ayman Boustati, Sattar Vakili, James Hensman, ST John; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:61-70
Randomized Exploration for Non-Stationary Stochastic Linear Bandits
Baekjin Kim, Ambuj Tewari; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:71-80
Divergence-Based Motivation for Online EM and Combining Hidden Variable Models
Ehsan Amid, Manfred K. Warmuth; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:81-90
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Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty
Hongjoon Ahn, Taesup Moon; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:91-100
Nonparametric Fisher Geometry with Application to Density Estimation
Andrew Holbrook, Shiwei Lan, Jeffrey Streets, Babak Shahbaba; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:101-110
Learning Intrinsic Rewards as a Bi-Level Optimization Problem
Bradly Stadie, Lunjun Zhang, Jimmy Ba; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:111-120
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems
Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:121-130
Learning Behaviors with Uncertain Human Feedback
Xu He, Haipeng Chen, Bo An; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:131-140
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Regret Analysis of Bandit Problems with Causal Background Knowledge
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, William Yan; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:141-150
Evaluation of Causal Structure Learning Algorithms via Risk Estimation
Marco Eigenmann, Sach Mukherjee, Marloes Maathuis; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:151-160
Kidney Exchange with Inhomogeneous Edge Existence Uncertainty
hoda bidkhori, John Dickerson, Duncan McElfresh, Ke Ren; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:161-170
On the design of consequential ranking algorithms
Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:171-180
Fair Contextual Multi-Armed Bandits: Theory and Experiments
Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:181-190
Submodular Bandit Problem Under Multiple Constraints
Sho Takemori, Masahiro Sato, Takashi Sonoda, Janmajay Singh, Tomoko Ohkuma; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:191-200
Exploration Analysis in Finite-Horizon Turn-based Stochastic Games
Jialian Li, Yichi Zhou, Tongzheng Ren, Jun Zhu; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:201-210
Amortized Nesterov’s Momentum: A Robust Momentum and Its Application to Deep Learning
Kaiwen Zhou, Yanghua Jin, Qinghua Ding, James Cheng; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:211-220
Testing Goodness of Fit of Conditional Density Models with Kernels
Wittawat Jitkrittum, Heishiro Kanagawa, Bernhard Schölkopf; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:221-230
Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes
Or Dinari, Oren Freifeld; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:231-240
Statistically Efficient Greedy Equivalence Search
Max Chickering; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:241-249
Robust Collective Classification against Structural Attacks
Kai Zhou, Yevgeniy Vorobeychik; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:250-259
Efficient Rollout Strategies for Bayesian Optimization
Eric Lee, David Eriksson, David Bindel, Bolong Cheng, Mike Mccourt; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:260-269
IDA with Background Knowledge
Zhuangyan Fang, Yangbo He; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:270-279
Complete Dictionary Learning via $\ell_p$-norm Maximization
Yifei Shen, Ye Xue, Jun Zhang, Khaled Letaief, Vincent Lau; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:280-289
Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects
Yue Liu, Zhuangyan Fang, Yangbo He, Zhi Geng; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:290-299
Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders
Sorawit Saengkyongam, Ricardo Silva; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:300-309
Causal screening in dynamical systems
Søren Wengel Mogensen; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:310-319
Bayesian Online Prediction of Change Points
Diego Agudelo-España, Sebastian Gomez-Gonzalez, Stefan Bauer, Bernhard Schölkopf, Jan Peters; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:320-329
Walking on Two Legs: Learning Image Segmentation with Noisy Labels
Guohua Cheng, Hongli Ji, Yan Tian; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:330-339
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Election Control by Manipulating Issue Significance
Andrew Estornell, Sanmay Das, Edith Elkind, Yevgeniy Vorobeychik; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:340-349
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Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples
Saeed Vahidian, Baharan Mirzasoleiman, Alexander Cloninger; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:350-359
Robust Spatial-Temporal Incident Prediction
Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:360-369
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Lagrangian Decomposition for Neural Network Verification
Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip Torr, M. Pawan Kumar; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:370-379
Robust modal regression with direct gradient approximation of modal regression risk
Hiroaki Sasaki, Tomoya Sakai, Takafumi Kanamori; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:380-389
A Simple Online Algorithm for Competing with Dynamic Comparators
Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:390-399
Skewness Ranking Optimization for Personalized Recommendation
Chuan-Ju Wang, Yu-Neng Chuang, Chih-Ming Chen, Ming-Feng Tsai; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:400-409
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High Dimensional Discrete Integration over the Hypergrid
Raj Kumar Maity, Arya Mazumdar, Soumyabrata Pal; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:410-419
Neural Likelihoods via Cumulative Distribution Functions
Pawel Chilinski, Ricardo Silva; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:420-429
Unknown mixing times in apprenticeship and reinforcement learning
Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:430-439
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP
Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:440-449
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What You See May Not Be What You Get: UCB Bandit Algorithms Robust to $\varepsilon$-Contamination
Laura Niss, Ambuj Tewari; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:450-459
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks
Sikun Yang, Heinz Koeppl; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:460-469
Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect
Priyank Agrawal, Theja Tulabandula; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:470-479
Compositional uncertainty in deep Gaussian processes
Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill Campbell, Carl Henrik Ek; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:480-489
Streaming Nonlinear Bayesian Tensor Decomposition
Zhimeng Pan, Zheng Wang, Shandian Zhe; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:490-499
Relaxed Multivariate Bernoulli Distribution and Its Applications to Deep Generative Models
Xi Wang, Junming Yin; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:500-509
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One-Bit Compressed Sensing via One-Shot Hard Thresholding
Jie Shen; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:510-519
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GPIRT: A Gaussian Process Model for Item Response Theory
JBrandon Duck-Mayr, Roman Garnett, Jacob Montgomery; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:520-529
Identifying causal effects in maximally oriented partially directed acyclic graphs
Emilija Perkovic; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:530-539
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:540-549
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Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison
Tengyang Xie, Nan Jiang; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:550-559
Towards Threshold Invariant Fair Classification
Mingliang Chen, Min Wu; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:560-569
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Optimal Statistical Hypothesis Testing for Social Choice
Lirong Xia; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:570-579
A SUPER* Algorithm to Optimize Paper Bidding in Peer Review
Tanner Fiez, Nihar Shah, Lillian Ratliff; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:580-589
Measurement Dependence Inducing Latent Causal Models
Alex Markham, Moritz Grosse-Wentrup; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:590-599
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The Indian Chefs Process
Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Marcel Gerven, François Laviolette; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:600-608
Spectral Methods for Ranking with Scarce Data
Lalit Jain, Anna Gilbert, Umang Varma; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:609-618
Anchored Causal Inference in the Presence of Measurement Error
Basil Saeed, Anastasiya Belyaeva, Yuhao Wang, Caroline Uhler; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:619-628
How Private Are Commonly-Used Voting Rules?
Ao LIU, Yun Lu, Lirong Xia, Vassilis Zikas; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:629-638
Differentially Private Small Dataset Release Using Random Projections
Lovedeep Gondara, Ke Wang; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:639-648
Semi-supervised Sequential Generative Models
Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:649-658
Robust contrastive learning and nonlinear ICA in the presence of outliers
Hiroaki Sasaki, Takashi Takenouchi, Ricardo Monti, Aapo Hyvarinen; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:659-668
Selling Data at an Auction under Privacy Constraints
Mengxiao Zhang, Fernando Beltran, Jiamou Liu; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:669-678
Mixed-Membership Stochastic Block Models for Weighted Networks
Adrien Dulac, Eric Gaussier, Christine Largeron; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:679-688
MaskAAE: Latent space optimization for Adversarial Auto-Encoders
Arnab Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Himanshu Asnani, Parag Singla, Prathosh A P; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:689-698
Slice Sampling for General Completely Random Measures
Peiyuan Zhu, Alexandre Bouchard-Cote, Trevor Campbell; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:699-708
Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful
Jingge Zhu; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:709-718
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks
Meet Vadera, Brian Jalaian, Benjamin Marlin; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:719-728
Complex Markov Logic Networks: Expressivity and Liftability
Ondrej Kuzelka; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:729-738
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Faster algorithms for Markov equivalence
Zhongyi Hu, Robin Evans; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:739-748
Verifying Individual Fairness in Machine Learning Models
Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:749-758
An Interpretable and Sample Efficient Deep Kernel for Gaussian Process
Yijue Dai, Tianjian Zhang, Zhidi Lin, Feng Yin, Sergios Theodoridis, Shuguang Cui; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:759-768
Amortized Bayesian Optimization over Discrete Spaces
Kevin Swersky, Yulia Rubanova, David Dohan, Kevin Murphy; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:769-778
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Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation
Marko Jarvenpaa, Aki Vehtari, Pekka Marttinen; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:779-788
Deep Sigma Point Processes
Martin Jankowiak, Geoff Pleiss, Jacob Gardner; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:789-798
Robust $k$-means++
Amit Deshpande, Praneeth Kacham, Rameshwar Pratap; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:799-808
On Counterfactual Explanations under Predictive Multiplicity
Martin Pawelczyk, Klaus Broelemann, Gjergji. Kasneci; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:809-818
A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace
Zhiqiang Xu, Ping Li; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:819-828
No-regret Exploration in Contextual Reinforcement Learning
Aditya Modi, Ambuj Tewari; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:829-838
Layering-MCMC for Structure Learning in Bayesian Networks
Jussi Viinikka, Mikko Koivisto; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:839-848
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
Arnab Mondal, Arnab Bhattacharjee, Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan, Prathosh A P; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:849-858
Stochastic Variational Inference for Dynamic Correlated Topic Models
Federico Tomasi, Praveen Chandar, Gal Levy-Fix, Mounia Lalmas-Roelleke, Zhenwen Dai; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:859-868
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Adversarial Learning for 3D Matching
Wei Xing, Brian Ziebart; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:869-878
Ordering Variables for Weighted Model Integration
Vincent Derkinderen, Evert Heylen, Pedro Zuidberg Dos Martires, Samuel Kolb, Luc Raedt; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:879-888
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Online Parameter-Free Learning of Multiple Low Variance Tasks
Giulia Denevi, Massimiliano Pontil, Dimitrios Stamos; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:889-898
Zeroth Order Non-convex optimization with Dueling-Choice Bandits
Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:899-908
Semi-bandit Optimization in the Dispersed Setting
Maria-Florina Balcan, Travis Dick, Wesley Pegden; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:909-918
Adapting Text Embeddings for Causal Inference
Victor Veitch, Dhanya Sridhar, David Blei; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:919-928
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Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models
Zhijian Ou, Yunfu Song; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:929-938
Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series
Hermanni Hälvä, Aapo Hyvarinen; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:939-948
Identification and Estimation of Causal Effects Defined by Shift Interventions
Numair Sani, Jaron Lee, Ilya Shpitser; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:949-958
Risk Bounds for Low Cost Bipartite Ranking
San Gultekin, John Paisley; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:959-968
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Multitask Soft Option Learning
Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N Siddharth, Wendelin Boehmer, Shimon Whiteson; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:969-978
99% of Worker-Master Communication in Distributed Optimization Is Not Needed
Konstantin Mishchenko, Filip Hanzely, Peter Richtarik; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:979-988
Graphical continuous Lyapunov models
Gherardo Varando, Niels Richard Hansen; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:989-998
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Structure Learning for Cyclic Linear Causal Models
Carlos Amendola, Philipp Dettling, Mathias Drton, Federica Onori, Jun Wu; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:999-1008
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Sensor Placement for Spatial Gaussian Processes with Integral Observations
Krista Longi, Chang Rajani, Tom Sillanpää, Joni Mäkinen, Timo Rauhala, Ari Salmi, Edward Haeggström, Arto Klami; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1009-1018
Active Model Estimation in Markov Decision Processes
Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1019-1028
Dueling Posterior Sampling for Preference-Based Reinforcement Learning
Ellen Novoseller, Yibing Wei, Yanan Sui, Yisong Yue, Joel Burdick; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1029-1038
Permutation-Based Causal Structure Learning with Unknown Intervention Targets
Chandler Squires, Yuhao Wang, Caroline Uhler; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1039-1048
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
Ioan Gabriel Bucur, Tom Claassen, Tom Heskes; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1049-1058
Popularity Agnostic Evaluation of Knowledge Graph Embeddings
Aisha Mohamed, Shameem Parambath, Zoi Kaoudi, Ashraf Aboulnaga; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1059-1068
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Learning LWF Chain Graphs: A Markov Blanket Discovery Approach
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1069-1078
Batch norm with entropic regularization turns deterministic autoencoders into generative models
Amur Ghose, Abdullah Rashwan, Pascal Poupart; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1079-1088
Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation
Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1089-1098
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits
Aurelien Bibaut, Antoine Chambaz, Mark Laan; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1099-1108
Differentially Private Top-k Selection via Stability on Unknown Domain
Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara, Chunyan Miao; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1109-1118
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation
Sayak Ray Chowdhury, Rafael Oliveira, Fabio Ramos; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1119-1128
Flexible Prior Elicitation via the Prior Predictive Distribution
Marcelo Hartmann, Georgi Agiashvili, Paul Bürkner, Arto Klami; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1129-1138
Model-Augmented Conditional Mutual Information Estimation for Feature Selection
Alan Yang, AmirEmad Ghassami, Maxim Raginsky, Negar Kiyavash, Elyse Rosenbaum; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1139-1148
Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward
Jan Kretinsky, Fabian Michel, Lukas Michel, Guillermo Perez; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1149-1158
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles
Joris M. Mooij, Tom Claassen; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1159-1168
Estimation Rates for Sparse Linear Cyclic Causal Models
Jan-Christian Huetter, Philippe Rigollet; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1169-1178
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
Tárik S. Salem, Helge Langseth, Heri Ramampiaro; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1179-1187
On the Relationship Between Probabilistic Circuits and Determinantal Point Processes
Honghua Zhang, Steven Holtzen, Guy Broeck; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1188-1197
Probabilistic Safety for Bayesian Neural Networks
Matthew Wicker, Luca Laurenti, Andrea Patane, Marta Kwiatkowska; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1198-1207
Distortion estimates for approximate Bayesian inference
Hanwen Xing, Geoff Nicholls, Jeong (Kate) Lee; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1208-1217
Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch
Michael Wan, Tanmay Gangwani, Jian Peng; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1218-1227
Provably Efficient Third-Person Imitation from Offline Observation
Aaron Zweig, Joan Bruna; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1228-1237
Automated Dependence Plots
David Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1238-1247
EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices
Jun Ho Yoon, Seyoung Kim; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1248-1257
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Improved Vector Pruning in Exact Algorithms for Solving POMDPs
Eric Hansen, Thomas Bowman; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1258-1267
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Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings
Tal Friedman, Guy Broeck; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1268-1277
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Learning to learn generative programs with Memoised Wake-Sleep
Luke Hewitt, Tuan Anh Le, Joshua Tenenbaum; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1278-1287
Flexible Approximate Inference via Stratified Normalizing Flows
Chris Cundy, Stefano Ermon; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1288-1297
Bounded Rationality in Las Vegas: Probabilistic Finite Automata Play Multi-Armed Bandits
Xinming Liu, Joseph Halpern; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1298-1307
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Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation
Alexander Lyzhov, Yuliya Molchanova, Arsenii Ashukha, Dmitry Molchanov, Dmitry Vetrov; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1308-1317
Non Parametric Graph Learning for Bayesian Graph Neural Networks
Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1318-1327
Stable Policy Optimization via Off-Policy Divergence Regularization
Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1328-1337
PoRB-Nets: Poisson Process Radial Basis Function Networks
Beau Coker, Melanie Fernandez Pradier, Finale Doshi-Velez; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1338-1347
Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals
Noam Finkelstein, Ilya Shpitser; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1348-1357
Locally Masked Convolution for Autoregressive Models
Ajay Jain, Pieter Abbeel, Deepak Pathak; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1358-1367
Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework
Rishabh Singh, Jose Principe; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1368-1377
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OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation
Hongyu Ren, Yuke Zhu, Jure Leskovec, Animashree Anandkumar, Animesh Garg; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1378-1387
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets
Jakob Runge; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1388-1397
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