Papers
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
Alexander Norcliffe, Bogdan Cebere, Fergus Imrie et al.
Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence
Sarath Pattathil, Kaiqing Zhang, Asuman Ozdaglar
TabLLM: Few-shot Classification of Tabular Data with Large Language Models
Stefan Hegselmann, Alejandro Buendia, Hunter Lang et al.
Temporal Graph Neural Networks for Irregular Data
Joel Oskarsson, Per Sidén, Fredrik Lindsten
Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data
Frederiek Wesel, Kim Batselier
Testing of Horn Samplers
Ansuman Banerjee, Shayak Chakraborty, Sourav Chakraborty et al.
The communication cost of security and privacy in federated frequency estimation
Wei-Ning Chen, Ayfer Ozgur, Graham Cormode et al.
The ELBO of Variational Autoencoders Converges to a Sum of Entropies
Simon Damm, Dennis Forster, Dmytro Velychko et al.
The Lauritzen-Chen Likelihood For Graphical Models
Ilya Shpitser
The Lie-Group Bayesian Learning Rule
Eren Mehmet Kiral, Thomas Moellenhoff, Mohammad Emtiyaz Khan
The Ordered Matrix Dirichlet for State-Space Models
Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell et al.
Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness
Pranjal Awasthi, Anqi Mao, Mehryar Mohri et al.
Theory and Algorithm for Batch Distribution Drift Problems
Pranjal Awasthi, Corinna Cortes, Christopher Mohri
The Power of Recursion in Graph Neural Networks for Counting Substructures
Behrooz Tahmasebi, Derek Lim, Stefanie Jegelka
The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study
Itay Evron, Ophir Onn, Tamar Weiss et al.
The Schrödinger Bridge between Gaussian Measures has a Closed Form
Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi et al.
Thresholded linear bandits
Nishant A. Mehta, Junpei Komiyama, Vamsi K. Potluru et al.
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty
Felix Biggs, Benjamin Guedj
Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte Carlo
Tom Huix, Matthew Zhang, Alain Durmus
To Impute or not to Impute? Missing Data in Treatment Effect Estimation
Jeroen Berrevoets, Fergus Imrie, Trent Kyono et al.
Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling
Rui Wang, Pengyu Cheng, Ricardo Henao
Towards Balanced Representation Learning for Credit Policy Evaluation
Yiyan Huang, Cheuk Hang Leung, Shumin Ma et al.
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework
Runzhe Wan, Lin Ge, Rui Song
T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression
Yuchao Qin, Mihaela van der Schaar, Changhee Lee