Papers
The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers
Ruofeng Yang, Bo Jiang, Shuai Li
The Sample Complexity of Stackelberg Games
Francesco Bacchiocchi, Matteo Bollini, Matteo Castiglioni et al.
The Size of Teachers as a Measure of Data Complexity: PAC-Bayes Excess Risk Bounds and Scaling Laws
Gintare Karolina Dziugaite, Daniel M. Roy
The Strong Product Model for Network Inference without Independence Assumptions
Bailey Andrew, David Robert Westhead, Luisa Cutillo
The Uniformly Rotated Mondrian Kernel
Calvin Osborne, Eliza O’Reilly
The VampPrior Mixture Model
Andrew A. Stirn, David A. Knowles
Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent
Teodor Rotaru, Panagiotis Patrinos, François Glineur
Tighter Confidence Bounds for Sequential Kernel Regression
Hamish Flynn, David Reeb
Time-series attribution maps with regularized contrastive learning
Steffen Schneider, Rodrigo González Laiz, Anastasiia Filippova et al.
Time-varying Gaussian Process Bandits with Unknown Prior
Juliusz Ziomek, Masaki Adachi, Michael A Osborne
To Give or Not to Give? The Impacts of Strategically Withheld Recourse
Yatong Chen, Andrew Estornell, Yevgeniy Vorobeychik et al.
Towards a mathematical theory for consistency training in diffusion models
Gen Li, Zhihan Huang, Yuting Wei
Towards Cost Sensitive Decision Making
Yang Li, Junier Oliva
Towards Fair Graph Learning without Demographic Information
Zichong Wang, Nhat Hoang, Xingyu Zhang et al.
Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions
Omer Noy Klein, Alihan Hüyük, Ron Shamir et al.
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
Stefan Wahl, Armand Rousselot, Felix Draxler et al.
Training LLMs with MXFP4
Albert Tseng, Tao Yu, Youngsuk Park
Training Neural Samplers with Reverse Diffusive KL Divergence
Jiajun He, Wenlin Chen, Mingtian Zhang et al.
Transfer Learning for High-dimensional Reduced Rank Time Series Models
Mingliang Ma, Abolfazl Safikhani
Transfer Neyman-Pearson Algorithm for Outlier Detection
Mohammadreza Mousavi Kalan, Eitan J. Neugut, Samory Kpotufe
Transformers are Provably Optimal In-context Estimators for Wireless Communications
Vishnu Teja Kunde, Vicram Rajagopalan, Chandra Shekhara Kaushik Valmeekam et al.
Truncated Inverse-Lévy Measure Representation of the Beta Process
Junyi Zhang, Angelos Dassios, Zhong Chong et al.
TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility
Elisabeth Griesbauer, Claudia Czado, Arnoldo Frigessi et al.
Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way
Jeongyeol Kwon, Luke Dotson, Yudong Chen et al.