Papers
The Statistical Scope of Multicalibration
Georgy Noarov, Aaron Roth
The Test of Tests: A Framework for Differentially Private Hypothesis Testing
Zeki Kazan, Kaiyan Shi, Adam Groce et al.
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning
Sarah Rathnam, Sonali Parbhoo, Weiwei Pan et al.
The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
Xavier Garcia, Yamini Bansal, Colin Cherry et al.
The Value of Out-of-Distribution Data
Ashwin De Silva, Rahul Ramesh, Carey Priebe et al.
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
Anirudh Vemula, Yuda Song, Aarti Singh et al.
The Wisdom of Hindsight Makes Language Models Better Instruction Followers
Tianjun Zhang, Fangchen Liu, Justin Wong et al.
Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits
Sunrit Chakraborty, Saptarshi Roy, Ambuj Tewari
Thompson Sampling with Diffusion Generative Prior
Yu-Guan Hsieh, Shiva Kasiviswanathan, Branislav Kveton et al.
Thompson Sampling with Less Exploration is Fast and Optimal
Tianyuan Jin, Xianglin Yang, Xiaokui Xiao et al.
TIDE: Time Derivative Diffusion for Deep Learning on Graphs
Maysam Behmanesh, Maximilian Krahn, Maks Ovsjanikov
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
Emirhan Kurtuluş, Zichao Li, Yann Dauphin et al.
Tight and fast generalization error bound of graph embedding in metric space
Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki et al.
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations
Hong-Ming Chiu, Richard Y. Zhang
Tight Data Access Bounds for Private Top-$k$ Selection
Hao Wu, Olga Ohrimenko, Anthony Wirth
Tighter Analysis for ProxSkip
Zhengmian Hu, Heng Huang
Tighter Bounds on the Expressivity of Transformer Encoders
David Chiang, Peter Cholak, Anand Pillay
Tighter Information-Theoretic Generalization Bounds from Supersamples
Ziqiao Wang, Yongyi Mao
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
Jaeyoung Cha, Jaewook Lee, Chulhee Yun
Tilted Sparse Additive Models
Yingjie Wang, Hong Chen, Weifeng Liu et al.
TIPS: Topologically Important Path Sampling for Anytime Neural Networks
Guihong Li, Kartikeya Bhardwaj, Yuedong Yang et al.
Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes
Nico Stucki, Johannes C. Paetzold, Suprosanna Shit et al.
Topological Point Cloud Clustering
Vincent Peter Grande, Michael T Schaub
Topological Singularity Detection at Multiple Scales
Julius von Rohrscheidt, Bastian Rieck