Papers
4,025 papers found
A 4-Approximation Algorithm for Min Max Correlation Clustering
Holger S. G. Heidrich, Jannik Irmai, Bjoern Andres
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent
Mehdi Jafarnia Jahromi, Rahul A Jain, Ashutosh Nayyar
Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses
Ziye Ma, Ying Chen, Javad Lavaei et al.
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity
Zhihan Xiong, Romain Camilleri, Maryam Fazel et al.
A/B testing under Interference with Partial Network Information
Shiv Shankar, Ritwik Sinha, Yash Chandak et al.
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
Haoyang Zheng, Wei Deng, Christian Moya et al.
Acceleration and Implicit Regularization in Gaussian Phase Retrieval
Tyler Maunu, Martin Molina-Fructuoso
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex
Yasushi Esaki, Akihiro Nakamura, Keisuke Kawano et al.
Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning
Taeuk Jang, Hongchang Gao, Pengyi Shi et al.
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers
Natalia L. Martinez, Martin A. Bertran, Guillermo Sapiro
A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning
Mizhaan P. Maniyar, Prashanth L.A., Akash Mondal et al.
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression
Zhaoyang Shi, Krishna Balasubramanian, Wolfgang Polonik
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach
Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen et al.
Adaptive Compression in Federated Learning via Side Information
Berivan Isik, Francesco Pase, Deniz Gunduz et al.
Adaptive Discretization for Event PredicTion (ADEPT)
Jimmy Hickey, Ricardo Henao, Daniel Wojdyla et al.
Adaptive Experiment Design with Synthetic Controls
Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
Adaptive Federated Minimax Optimization with Lower Complexities
Feihu Huang, Xinrui Wang, Junyi Li et al.
Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization
Thomas Guilmeau, Nicola Branchini, Emilie Chouzenoux et al.
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
Marzi Heidari, Abdullah Alchihabi, Qing En et al.
Adaptivity of Diffusion Models to Manifold Structures
Rong Tang, Yun Yang
A Doubly Robust Approach to Sparse Reinforcement Learning
Wonyoung Kim, Garud Iyengar, Assaf Zeevi
A General Algorithm for Solving Rank-one Matrix Sensing
Lianke Qin, Zhao Song, Ruizhe Zhang
A General Theoretical Paradigm to Understand Learning from Human Preferences
Mohammad Gheshlaghi Azar, Zhaohan Daniel Guo, Bilal Piot et al.
Agnostic Multi-Robust Learning using ERM
Saba Ahmadi, Avrim Blum, Omar Montasser et al.