Papers
On the Origins of Linear Representations in Large Language Models
Yibo Jiang, Goutham Rajendran, Pradeep Kumar Ravikumar et al.
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data
Shunxing Fan, Mingming Gong, Kun Zhang
On the Role of Edge Dependency in Graph Generative Models
Sudhanshu Chanpuriya, Cameron N Musco, Konstantinos Sotiropoulos et al.
On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery
Fateme Jamshidi, Luca Ganassali, Negar Kiyavash
On the Second-Order Convergence of Biased Policy Gradient Algorithms
Siqiao Mu, Diego Klabjan
On The Statistical Complexity of Offline Decision-Making
Thanh Nguyen-Tang, Raman Arora
On the Tractability of SHAP Explanations under Markovian Distributions
Reda Marzouk, Colin De La Higuera
On the Trajectory Regularity of ODE-based Diffusion Sampling
Defang Chen, Zhenyu Zhou, Can Wang et al.
On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation
Álvaro Labarca Silva, Denis Parra, Rodrigo Toro Icarte
On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
Felix Draxler, Stefan Wahl, Christoph Schnoerr et al.
On the Weight Dynamics of Deep Normalized Networks
Christian H.X. Ali Mehmeti-Göpel, Michael Wand
On Universally Optimal Algorithms for A/B Testing
Po-An Wang, Kaito Ariu, Alexandre Proutiere
On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective
Jincheng Huang, Jialie Shen, Xiaoshuang Shi et al.
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
Lin Li, Yifei Wang, Chawin Sitawarin et al.
Open Ad Hoc Teamwork with Cooperative Game Theory
Jianhong Wang, Yang Li, Yuan Zhang et al.
Open-Domain Text Evaluation via Contrastive Distribution Methods
Sidi Lu, Hongyi Liu, Asli Celikyilmaz et al.
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Fuzhao Xue, Zian Zheng, Yao Fu et al.
Open-Vocabulary Calibration for Fine-tuned CLIP
Shuoyuan Wang, Jindong Wang, Guoqing Wang et al.
Operator SVD with Neural Networks via Nested Low-Rank Approximation
Jongha Jon Ryu, Xiangxiang Xu, Hasan Sabri Melihcan Erol et al.
Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique
Taeho Yoon, Jaeyeon Kim, Jaewook J. Suh et al.
Optimal Batched Linear Bandits
Xuanfei Ren, Tianyuan Jin, Pan Xu
Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation
Alexander Munteanu, Simon Omlor
Optimal Coresets for Low-Dimensional Geometric Median
Peyman Afshani, Chris Schwiegelshohn
Optimal Differentially Private Model Training with Public Data
Andrew Lowy, Zeman Li, Tianjian Huang et al.