Papers
Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
Jisun Park, Ernest K. Ryu
Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems
Mohammad Khalafi, Digvijay Boob
Accelerated Stochastic Optimization Methods under Quasar-convexity
Qiang Fu, Dongchu Xu, Ashia Camage Wilson
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
Toon Vanderschueren, Alicia Curth, Wouter Verbeke et al.
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations
Weixin Liang, Yining Mao, Yongchan Kwon et al.
Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints
Jiayang Li, Jing Yu, Boyi Liu et al.
Achieving High Accuracy with PINNs via Energy Natural Gradient Descent
Johannes Müller, Marius Zeinhofer
Achieving Linear Speedup in Non-IID Federated Bilevel Learning
Minhui Huang, Dewei Zhang, Kaiyi Ji
A Closer Look at Few-shot Classification Again
Xu Luo, Hao Wu, Ji Zhang et al.
A Closer Look at Self-Supervised Lightweight Vision Transformers
Shaoru Wang, Jin Gao, Zeming Li et al.
A Closer Look at the Intervention Procedure of Concept Bottleneck Models
Sungbin Shin, Yohan Jo, Sungsoo Ahn et al.
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
Bohang Zhang, Guhao Feng, Yiheng Du et al.
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
Jeffrey Wen, Rizwan Ahmad, Philip Schniter
A Connection between One-Step RL and Critic Regularization in Reinforcement Learning
Benjamin Eysenbach, Matthieu Geist, Sergey Levine et al.
A Coupled Flow Approach to Imitation Learning
Gideon Joseph Freund, Elad Sarafian, Sarit Kraus
A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
Jiachen Sun, Jiongxiao Wang, Weili Nie et al.
A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment
Hanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei et al.
Action Matching: Learning Stochastic Dynamics from Samples
Kirill Neklyudov, Rob Brekelmans, Daniel Severo et al.
Active causal structure learning with advice
Davin Choo, Themistoklis Gouleakis, Arnab Bhattacharyya
Active Learning based Structural Inference
Aoran Wang, Jun Pang
Active Policy Improvement from Multiple Black-box Oracles
Xuefeng Liu, Takuma Yoneda, Chaoqi Wang et al.
Active Ranking of Experts Based on their Performances in Many Tasks
El Mehdi Saad, Nicolas Verzelen, Alexandra Carpentier
Actor-Critic Alignment for Offline-to-Online Reinforcement Learning
Zishun Yu, Xinhua Zhang
AdaBoost is not an Optimal Weak to Strong Learner
Mikael Møller Høgsgaard, Kasper Green Larsen, Martin Ritzert
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
Yifan Zhang, Xue Wang, Kexin Jin et al.