Papers
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence
Ilyas Fatkhullin, Niao He
TenGAN: Pure Transformer Encoders Make an Efficient Discrete GAN for De Novo Molecular Generation
Chen Li, Yoshihiro Yamanishi
Tensor-view Topological Graph Neural Network
Tao Wen, Elynn Chen, Yuzhou Chen
Testing exchangeability by pairwise betting
Aytijhya Saha, Aaditya Ramdas
Testing Generated Distributions in GANs to Penalize Mode Collapse
Yanxiang Gong, Zhiwei Xie, Mei Xie et al.
The AL$\ell_0$CORE Tensor Decomposition for Sparse Count Data
John Hood, Aaron J. Schein
The Effective Number of Shared Dimensions Between Paired Datasets
Hamza Giaffar, Camille Rullán Buxó, Mikio Aoi
The effect of Leaky ReLUs on the training and generalization of overparameterized networks
Yinglong Guo, Shaohan Li, Gilad Lerman
The Galerkin method beats Graph-Based Approaches for Spectral Algorithms
Vivien A. Cabannes, Francis Bach
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
Anqi Mao, Mehryar Mohri, Yutao Zhong
Theory-guided Message Passing Neural Network for Probabilistic Inference
Zijun Cui, Hanjing Wang, Tian Gao et al.
The Relative Gaussian Mechanism and its Application to Private Gradient Descent
Hadrien Hendrikx, Paul Mangold, Aurélien Bellet
The Risks of Recourse in Binary Classification
Hidde Fokkema, Damien Garreau, Tim van Erven
The sample complexity of ERMs in stochastic convex optimization
Daniel Carmon, Amir Yehudayoff, Roi Livni
The Solution Path of SLOPE
Xavier Dupuis, Patrick Tardivel
Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources
Rohan Deb, Aadirupa Saha, Arindam Banerjee
Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators
Kenny Olsen, Rasmus M. Hoeegh Lindrup, Morten Mørup
Thompson Sampling Itself is Differentially Private
Tingting Ou, Rachel Cummings, Marco Avella Medina
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks
Ben Batten, Mehran Hosseini, Alessio Lomuscio
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model
Nikolaos Nakis, Abdulkadir Celikkanat, Louis Boucherie et al.
Timing as an Action: Learning When to Observe and Act
Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli et al.
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models
Cyrus Cousins, I. Elizabeth Kumar, Suresh Venkatasubramanian
Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL
Arnob Ghosh, Xingyu Zhou, Ness Shroff
Towards a Complete Benchmark on Video Moment Localization
Jinyeong Chae, Donghwa Kim, Kwanseok Kim et al.
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts
Huy Nguyen, TrungTin Nguyen, Khai Nguyen et al.