Papers
A new perspective on building efficient and expressive 3D equivariant graph neural networks
weitao Du, Yuanqi Du, Limei Wang et al.
An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits
Shinji Ito, Kei Takemura
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin et al.
An Inductive Bias for Tabular Deep Learning
Ege Beyazit, Jonathan Kozaczuk, Bo Li et al.
An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions
Mohammad Jalali, Cheuk Ting Li, Farzan Farnia
An information-theoretic quantification of the content of communication between brain regions
Marco Celotto, Jan Bím, Alejandro Tlaie et al.
An Information Theory Perspective on Variance-Invariance-Covariance Regularization
Ravid Shwartz-Ziv, Randall Balestriero, Kenji Kawaguchi et al.
An Inverse Scaling Law for CLIP Training
Xianhang Li, Zeyu Wang, Cihang Xie
An Iterative Self-Learning Framework for Medical Domain Generalization
Zhenbang Wu, Huaxiu Yao, David Liebovitz et al.
An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement
Gaku Morio, Christopher D Manning
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
Binhui Xie, Shuang Li, Qingju Guo et al.
Anonymous and Copy-Robust Delegations for Liquid Democracy
Markus Utke, Ulrike Schmidt-Kraepelin
Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization
Adel Javanmard, Vahab Mirrokni
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions
Yingtai Xiao, Guanlin He, Danfeng Zhang et al.
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization
Marco Rando, Cesare Molinari, Lorenzo Rosasco et al.
An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions
Michael Scholkemper, Michael T Schaub
A normative theory of social conflict
Sergey Shuvaev, Evgeny Amelchenko, Dmitry Smagin et al.
A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
Chenhang Cui, Yazhou Ren, Jingyu Pu et al.
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence
Carlo Alfano, Rui Yuan, Patrick Rebeschini
ANPL: Towards Natural Programming with Interactive Decomposition
Di Huang, Ziyuan Nan, Xing Hu et al.
ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
Zhuo Chen, Laker Newhouse, Eddie Chen et al.
Anytime-Competitive Reinforcement Learning with Policy Prior
Jianyi Yang, Pengfei Li, Tongxin Li et al.
Anytime Model Selection in Linear Bandits
Parnian Kassraie, Nicolas Emmenegger, Andreas Krause et al.
Any-to-Any Generation via Composable Diffusion
Zineng Tang, Ziyi Yang, Chenguang Zhu et al.
A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment
Yixuan Xu, Steven Jecmen, Zimeng Song et al.