conftrace_

UAI 2019

119 papers

BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback

Chang Li, Branislav Kveton, Tor Lattimore, Ilya Markov, Maarten de Rijke

Causal Discovery with General Non-Linear Relationships using Non-Linear ICA

Ricardo Pio Monti, Kun Zhang, Aapo Hyvärinen

Efficient Search-Based Weighted Model Integration

Zhe Zeng, Guy Van den Broeck

Comparing EM with GD in Mixture Models of Two Components

Guojun Zhang, Pascal Poupart, George Trimponias

Reducing Exploration of Dying Arms in Mortal Bandits

Stefano Tracà, Cynthia Rudin, Weiyu Yan

Countdown Regression: Sharp and Calibrated Survival Predictions

Anand Avati, Tony Duan, Sharon Zhou, Kenneth Jung, Nigam H. Shah

Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions

Tim Pearce, Russell Tsuchida, Mohamed Zaki, Alexandra Brintrup, Andy Neely

Learning Factored Markov Decision Processes with Unawareness

Craig Innes, Alex Lascarides

Truly Proximal Policy Optimization

Yuhui Wang, Hao He, Xiaoyang Tan

One-Shot Marginal MAP Inference in Markov Random Fields

Hao Xiong, Yuanzhen Guo, Yibo Yang, Nicholas Ruozzi

Recommendation from Raw Data with Adaptive Compound Poisson Factorization

Olivier Gouvert, Thomas Oberlin, Cédric Févotte

Variational Regret Bounds for Reinforcement Learning

Ronald Ortner, Pratik Gajane, Peter Auer

Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias

Patrick Forré, Joris M. Mooij

Correlated Learning for Aggregation Systems

Tanvi Verma, Pradeep Varakantham

On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don’t Worry About its Nonsmooth Loss Function

Xinguo Li, Haoming Jiang, Jarvis Haupt, Raman Arora, Han Liu

A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels

Martin Slawski, Mostafa Rahmani, Ping Li

Conditional Expectation Propagation

Zheng Wang, Shandian Zhe

Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data

Naman Goel, Boi Faltings

The 35th Uncertainty in Artificial Intelligence Conference: Preface

Ryan Adams, Vibhav Gogate