Papers
Categorized Bandits
Matthieu Jedor, Vianney Perchet, Jonathan Louedec
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors
Gauri Jagatap, Chinmay Hegde
Max-value Entropy Search for Multi-Objective Bayesian Optimization
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models
Tao Yu, Christopher M De Sa
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
Justin Domke, Daniel R. Sheldon
Rethinking the CSC Model for Natural Images
Dror Simon, Michael Elad
Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes
Junzhe Zhang, Elias Bareinboim
Chasing Ghosts: Instruction Following as Bayesian State Tracking
Peter Anderson, Ayush Shrivastava, Devi Parikh et al.
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
Siyuan Li, Rui Wang, Minxue Tang et al.
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
Carlos Riquelme, Hugo Penedones, Damien Vincent et al.
On the Hardness of Robust Classification
Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska et al.
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Dinghuai Zhang, Tianyuan Zhang, Yiping Lu et al.
Coresets for Clustering with Fairness Constraints
Lingxiao Huang, Shaofeng Jiang, Nisheeth Vishnoi
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback
Shuai Zheng, Ziyue Huang, James Kwok
Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation
Chen Dan, Hong Wang, Hongyang Zhang et al.
The Implicit Metropolis-Hastings Algorithm
Kirill Neklyudov, Evgenii Egorov, Dmitry P Vetrov
Learnable Tree Filter for Structure-preserving Feature Transform
Lin Song, Yanwei Li, Zeming Li et al.
Full-Gradient Representation for Neural Network Visualization
Suraj Srinivas, François Fleuret
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection
Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction
Yunji Kim, Seonghyeon Nam, In Cho et al.
Unified Sample-Optimal Property Estimation in Near-Linear Time
Yi Hao, Alon Orlitsky
Maximum Entropy Monte-Carlo Planning
Chenjun Xiao, Ruitong Huang, Jincheng Mei et al.
Fooling Neural Network Interpretations via Adversarial Model Manipulation
Juyeon Heo, Sunghwan Joo, Taesup Moon
Infra-slow brain dynamics as a marker for cognitive function and decline
Shagun Ajmera, Shreya Rajagopal, Razi Rehman et al.
List-decodable Linear Regression
Sushrut Karmalkar, Adam Klivans, Pravesh Kothari