Papers
8,340 papers found
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
Approximation Algorithms for Fair Range Clustering
Sedjro Salomon Hotegni, Sepideh Mahabadi, Ali Vakilian
Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input
Shokichi Takakura, Taiji Suzuki
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
Siyuan Li, Di Wu, Fang Wu et al.
Are Diffusion Models Vulnerable to Membership Inference Attacks?
Jinhao Duan, Fei Kong, Shiqi Wang et al.
Are Equivariant Equilibrium Approximators Beneficial?
Zhijian Duan, Yunxuan Ma, Xiaotie Deng
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation
Luca Pesce, Florent Krzakala, Bruno Loureiro et al.
A Reinforcement Learning Framework for Dynamic Mediation Analysis
Lin Ge, Jitao Wang, Chengchun Shi et al.
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
Aude Sportisse, Hugo Schmutz, Olivier Humbert et al.
Are Large Kernels Better Teachers than Transformers for ConvNets?
Tianjin Huang, Lu Yin, Zhenyu Zhang et al.
Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations
Yongyi Yang, Jacob Steinhardt, Wei Hu
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?
Juliusz Krzysztof Ziomek, Haitham Bou Ammar
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
Luke Vilnis, Yury Zemlyanskiy, Patrick Murray et al.
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
David Boetius, Stefan Leue, Tobias Sutter
A Robust Test for the Stationarity Assumption in Sequential Decision Making
Jitao Wang, Chengchun Shi, Zhenke Wu
A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP
Chi Bach Pham, Wynita Griggs, James Saunderson