Papers
A query-optimal algorithm for finding counterfactuals
Guy Blanc, Caleb Koch, Jane Lange et al.
A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources
Hugo Lebeau, Romain Couillet, Florent Chatelain
Architecture Agnostic Federated Learning for Neural Networks
Disha Makhija, Xing Han, Nhat Ho et al.
A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds
Jiahao He, Jiheng Zhang, Rachel Q. Zhang
A Regret Minimization Approach to Multi-Agent Control
Udaya Ghai, Udari Madhushani, Naomi Leonard et al.
A Resilient Distributed Boosting Algorithm
Yuval Filmus, Idan Mehalel, Shay Moran
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
Daniel D Lundstrom, Tianjian Huang, Meisam Razaviyayn
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD
Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
Wei Xiong, Han Zhong, Chengshuai Shi et al.
A Simple Guard for Learned Optimizers
Isabeau Prémont-Schwarz, Jaroslav Vı́tků, Jan Feyereisl
A Simple Reward-free Approach to Constrained Reinforcement Learning
Sobhan Miryoosefi, Chi Jin
A Simple Unified Framework for High Dimensional Bandit Problems
Wenjie Li, Adarsh Barik, Jean Honorio
A Simple yet Universal Strategy for Online Convex Optimization
Lijun Zhang, Guanghui Wang, Jinfeng Yi et al.
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language
Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté et al.
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning
Archit Sharma, Rehaan Ahmad, Chelsea Finn
A Statistical Manifold Framework for Point Cloud Data
Yonghyeon Lee, Seungyeon Kim, Jinwon Choi et al.
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms
Xinwei Zhang, Mingyi Hong, Sairaj Dhople et al.
A Study of Face Obfuscation in ImageNet
Kaiyu Yang, Jacqueline H. Yau, Li Fei-Fei et al.
A Study on the Ramanujan Graph Property of Winning Lottery Tickets
Bithika Pal, Arindam Biswas, Sudeshna Kolay et al.
Asymptotically-Optimal Gaussian Bandits with Side Observations
Alexia Atsidakou, Orestis Papadigenopoulos, Constantine Caramanis et al.
A Temporal-Difference Approach to Policy Gradient Estimation
Samuele Tosatto, Andrew Patterson, Martha White et al.
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
Renzhe Xu, Xingxuan Zhang, Zheyan Shen et al.
A Theoretical Comparison of Graph Neural Network Extensions
Pál András Papp, Roger Wattenhofer
A Tighter Analysis of Spectral Clustering, and Beyond
Peter Macgregor, He Sun