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AISTATS

AI/ML마감

International Conference on Artificial Intelligence and Statistics

📍 Montreal, Canada · 2027-05-03 ~ 2027-05-06

공식 웹사이트DBLP정보 오류 신고
채택률28%(2024, 463/1,651)
키워드Reinforcement LearningDiffusionFederated LearningLow-RankOptimization

기관 인정 현황?

BK21
1점
KIISE
우수
KAIST
우수
SNU
—
POST
우수

데드라인

2026 (main)
📍 Tangier, Morocco
📋 Abstract: 2025-09-25
📝 Paper: 2025-10-02
📬 Notification: 2026-01-22
📅 학회: 2026-05-02 ~ 2026-05-05
2027 (main)
📍 Montreal, Canada
📋 Abstract: 2026-09-29
📝 Paper: 2026-10-06
📬 Notification: 2027-01-20
📅 학회: 2027-05-03 ~ 2027-05-06

데드라인은 변경될 수 있습니다. 제출 전 공식 웹사이트에서 최종 일정을 확인하세요.

Acceptance Rate?

연도제출채택채택률
20221,34037628.1%
20231,40041129.4%
20241,65146328%
20211,45245531.3%
2020—151—

Research Trend?

Best Papers

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

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