Papers
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances
Aritra Guha, Nhat Ho, Xuanlong Nguyen
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs
Richard A Watson, Hengrui Cai, Xinming An et al.
On Investigating the Conservative Property of Score-Based Generative Models
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng et al.
On Kinetic Optimal Probability Paths for Generative Models
Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel et al.
Online Learning in Stackelberg Games with an Omniscient Follower
Geng Zhao, Banghua Zhu, Jiantao Jiao et al.
Online Learning with Feedback Graphs: The True Shape of Regret
Tomáš Kocák, Alexandra Carpentier
Online Local Differential Private Quantile Inference via Self-normalization
Yi Liu, Qirui Hu, Lei Ding et al.
Online Mechanism Design for Information Acquisition
Federico Cacciamani, Matteo Castiglioni, Nicola Gatti
Online Nonstochastic Control with Adversarial and Static Constraints
Xin Liu, Zixian Yang, Lei Ying
Online Platt Scaling with Calibeating
Chirag Gupta, Aaditya Ramdas
Online Prototype Alignment for Few-shot Policy Transfer
Qi Yi, Rui Zhang, Shaohui Peng et al.
Online Restless Bandits with Unobserved States
Bowen Jiang, Bo Jiang, Jian Li et al.
On Many-Actions Policy Gradient
Michal Nauman, Marek Cygan
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero et al.
On Penalty-based Bilevel Gradient Descent Method
Han Shen, Tianyi Chen
On Pitfalls of Test-Time Adaptation
Hao Zhao, Yuejiang Liu, Alexandre Alahi et al.
On Preemption and Learning in Stochastic Scheduling
Nadav Merlis, Hugo Richard, Flore Sentenac et al.
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
Nicklas Hansen, Zhecheng Yuan, Yanjie Ze et al.
On Provable Copyright Protection for Generative Models
Nikhil Vyas, Sham M. Kakade, Boaz Barak
On Regularization and Inference with Label Constraints
Kaifu Wang, Hangfeng He, Tin D. Nguyen et al.
On Sampling with Approximate Transport Maps
Louis Grenioux, Alain Oliviero Durmus, Eric Moulines et al.
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
Viktor Bengs, Eyke Hüllermeier, Willem Waegeman
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
Zhanke Zhou, Chenyu Zhou, Xuan Li et al.
On the Complexity of Bayesian Generalization
Yu-Zhe Shi, Manjie Xu, John E. Hopcroft et al.
On the Connection Between MPNN and Graph Transformer
Chen Cai, Truong Son Hy, Rose Yu et al.