Papers
On the Noise Robustness of In-Context Learning for Text Generation
Hongfu Gao, Feipeng Zhang, Wenyu Jiang et al.
On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games
Zhiyuan Fan, Christian Kroer, Gabriele Farina
On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization
Alexander Tyurin, Peter Richtárik
On the Parameter Identifiability of Partially Observed Linear Causal Models
Xinshuai Dong, Ignavier Ng, Biwei Huang et al.
On the Power of Decision Trees in Auto-Regressive Language Modeling
Yulu Gan, Tomer Galanti, Tomaso Poggio et al.
On the Power of Small-size Graph Neural Networks for Linear Programming
Qian Li, Tian Ding, Linxin Yang et al.
On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models
Aditya Bhaskara, Agastya Vibhuti Jha, Michael Kapralov et al.
On the Role of Attention Masks and LayerNorm in Transformers
Xinyi Wu, Amir Ajorlou, Yifei Wang et al.
On the Saturation Effects of Spectral Algorithms in Large Dimensions
Weihao Lu, Haobo Zhang, Yicheng Li et al.
On the Scalability of Certified Adversarial Robustness with Generated Data
Thomas Altstidl, David Dobre, Arthur Kosmala et al.
On the Scalability of GNNs for Molecular Graphs
Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei et al.
On the Sparsity of the Strong Lottery Ticket Hypothesis
Emanuele Natale, Davide Ferré, Giordano Giambartolomei et al.
On the Stability and Generalization of Meta-Learning
Yunjuan Wang, Raman Arora
On the Surprising Effectiveness of Attention Transfer for Vision Transformers
Alexander C. Li, Yuandong Tian, Beidi Chen et al.
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity
Chao Wang, Xin He, Yuwen Wang et al.
On the Use of Anchoring for Training Vision Models
Vivek Narayanaswamy, Kowshik Thopalli, Rushil Anirudh et al.
On the Worst Prompt Performance of Large Language Models
Bowen Cao, Deng Cai, Zhisong Zhang et al.
On Tractable $\Phi$-Equilibria in Non-Concave Games
Yang Cai, Constantinos Daskalakis, Haipeng Luo et al.
On Weak Regret Analysis for Dueling Bandits
El Mehdi Saad, Alexandra Carpentier, Tomáš Kocák et al.
OPEL: Optimal Transport Guided ProcedurE Learning
Sayeed Shafayet Chowdhury, Soumyadeep Chandra, Kaushik Roy
Open-Book Neural Algorithmic Reasoning
Hefei Li, Chao Peng, Chenyang Xu et al.
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset
Allen Roush, Yusuf Shabazz, Arvind Balaji et al.
OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images
Ye Mao, Junpeng Jing, Krystian Mikolajczyk
OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding
Yanmin Wu, Jiarui Meng, Haijie Li et al.