Papers
4,025 papers found
Forward Looking Best-Response Multiplicative Weights Update Methods for Bilinear Zero-sum Games
Michail Fasoulakis, Evangelos Markakis, Yannis Pantazis et al.
Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity
Joshua K. Behne, Galen Reeves
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL
Sumedh A. Sontakke, Stephen Iota, Zizhao Hu et al.
Gap-Dependent Bounds for Two-Player Markov Games
Zehao Dou, Zhuoran Yang, Zhaoran Wang et al.
Gap-Dependent Unsupervised Exploration for Reinforcement Learning
Jingfeng Wu, Vladimir Braverman, Lin Yang
Gaussian Process Bandit Optimization with Few Batches
Zihan Li, Jonathan Scarlett
Generalised GPLVM with Stochastic Variational Inference
Vidhi Lalchand, Aditya Ravuri, Neil D. Lawrence
Generalized Group Testing
Xiwei Cheng, Sidharth Jaggi, Qiaoqiao Zhou
Generative Models as Distributions of Functions
Emilien Dupont, Yee Whye Teh, Arnaud Doucet
GraphAdaMix: Enhancing Node Representations with Graph Adaptive Mixtures
Da Sun Handason Tam, Siyue Xie, Wing Cheong Lau
Grassmann Stein Variational Gradient Descent
Xing Liu, Harrison Zhu, Jean-Francois Ton et al.
Hardness of Learning a Single Neuron with Adversarial Label Noise
Ilias Diakonikolas, Daniel Kane, Pasin Manurangsi et al.
Harmless interpolation in regression and classification with structured features
Andrew D. Mcrae, Santhosh Karnik, Mark Davenport et al.
Heavy-tailed Streaming Statistical Estimation
Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan et al.
Hierarchical Bayesian Bandits
Joey Hong, Branislav Kveton, Manzil Zaheer et al.
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
Shivam Garg, Santosh Vempala
How to Learn when Data Gradually Reacts to Your Model
Zachary Izzo, James Zou, Lexing Ying
Hypergraph Simultaneous Generators
Bahman Pedrood, Carlotta Domeniconi, Kathryn Laskey
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects
Yao Zhang, Jeroen Berrevoets, Mihaela Van Der Schaar
Identification in Tree-shaped Linear Structural Causal Models
Benito Van Der Zander, Marcel Wienöbst, Markus Bläser et al.
Identity Testing of Reversible Markov Chains
Sela Fried, Geoffrey Wolfer
Implicitly Regularized RL with Implicit Q-values
Nino Vieillard, Marcin Andrychowicz, Anton Raichuk et al.
Improved Algorithms for Misspecified Linear Markov Decision Processes
Daniel Vial, Advait Parulekar, Sanjay Shakkottai et al.
Improved analysis of randomized SVD for top-eigenvector approximation
Ruo-Chun Tzeng, Po-An Wang, Florian Adriaens et al.