Papers
A Model-free Closeness-of-influence Test for Features in Supervised Learning
Mohammad Mehrabi, Ryan A. Rossi
A Modern Look at the Relationship between Sharpness and Generalization
Maksym Andriushchenko, Francesco Croce, Maximilian Müller et al.
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning
Woojun Kim, Youngchul Sung
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
Xuchen You, Shouvanik Chakrabarti, Boyang Chen et al.
Analyzing Diffusion as Serial Reproduction
Raja Marjieh, Ilia Sucholutsky, Thomas A Langlois et al.
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi
Anchor Sampling for Federated Learning with Partial Client Participation
Feijie Wu, Song Guo, Zhihao Qu et al.
A Nearly-Optimal Bound for Fast Regression with $\ell_∞$ Guarantee
Zhao Song, Mingquan Ye, Junze Yin et al.
A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints
Ming Shi, Yingbin Liang, Ness Shroff
An Effective Meaningful Way to Evaluate Survival Models
Shi-Ang Qi, Neeraj Kumar, Mahtab Farrokh et al.
A Neural PDE Solver with Temporal Stencil Modeling
Zhiqing Sun, Yiming Yang, Shinjae Yoo
A new near-linear time algorithm for k-nearest neighbor search using a compressed cover tree
Yury Elkin, Vitaliy Kurlin
An Information-Theoretic Analysis of Nonstationary Bandit Learning
Seungki Min, Daniel Russo
An Instrumental Variable Approach to Confounded Off-Policy Evaluation
Yang Xu, Jin Zhu, Chengchun Shi et al.
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
Jaesik Yoon, Yi-Fu Wu, Heechul Bae et al.
An SDE for Modeling SAM: Theory and Insights
Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto et al.
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
Yushi Bai, Xin Lv, Juanzi Li et al.
Anti-Exploration by Random Network Distillation
Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov et al.
A Picture of the Space of Typical Learnable Tasks
Rahul Ramesh, Jialin Mao, Itay Griniasty et al.
Applied Online Algorithms with Heterogeneous Predictors
Jessica Maghakian, Russell Lee, Mohammad Hajiesmaili et al.
Approximate Causal Effect Identification under Weak Confounding
Ziwei Jiang, Lai Wei, Murat Kocaoglu
Approximately Optimal Core Shapes for Tensor Decompositions
Mehrdad Ghadiri, Matthew Fahrbach, Gang Fu et al.
Approximate Stein Classes for Truncated Density Estimation
Daniel James Williams, Song Liu