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AISTATS
AISTATS Best Papers
International Conference on Artificial Intelligence and Statistics
10 papers · 2021–2026
← AISTATS Conference Info
🏆
2026
(4)
Best Paper Award
EventFlow: Forecasting Temporal Point Processes with Flow Matching
Gavin Kerrigan, Kai Nelson, Padhraic Smyth
Best Student Paper Award
We Still Don’t Understand High-Dimensional Bayesian Optimization
Colin Doumont, Donney Fan, Natalie Maus, Jacob Gardner, Henry Moss, Geoff Pleiss
Optimization
Bayesian Methods
Test of Time Award
Non-stochastic Best Arm Identification and Hyperparameter Optimization
Kevin Jamieson, Ameet Talwalkar
Optimization
Hyperparameter Tuning
Honorable Mention
Deep Kernel Learning
Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing
Operating Systems
🏆
2025
(3)
Test of Time Award
Deeply Supervised Nets
Chen-Yu LeeSaining XiePatrick GallagherZhengyou ZhangZhuowen Tu
Best Paper Award
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
Charles MargossianLawrence Saul
Variational Methods
Best Student Paper Award
Pick-to-Learn and Self-Certified Gaussian Process Approximations
Daniel MarksDario Paccagnan
Gaussian Processes
🏆
2023
(1)
Best Paper Award
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation
Sohail BahmaniJustin Romberg
machine-learning
statistics
🏆
2022
(1)
Best Paper Award
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
Charita DellaportaJeremias KnoblauchTheodoros DamoulasFrançois-Xavier Briol
machine-learning
statistics
🏆
2021
(1)
Best Paper Award
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent
Frederik KunstnerRaunak KumarMark Schmidt
machine-learning
statistics