Papers
Towards a Better Understanding and Regularization of GAN Training Dynamics
Weili Nie, Ankit B. Patel
Adaptive Hashing for Model Counting
Jonathan Kuck, Tri Dao, Shengjia Zhao et al.
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation
Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests
Taoan Huang, Bohui Fang, Xiaohui Bei et al.
Randomized Iterative Algorithms for Fisher Discriminant Analysis
Agniva Chowdhury, Jiasen Yang, Petros Drineas
Random Clique Covers for Graphs with Local Density and Global Sparsity
Sinead A. Williamson, Mauricio Tec
The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA
Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou et al.
Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory
Philipp Geiger, Michel Besserve, Justus Winkelmann et al.
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback
Chang Li, Branislav Kveton, Tor Lattimore et al.
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 et al.
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions
Tim Pearce, Russell Tsuchida, Mohamed Zaki et al.
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 et al.
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 et al.
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