Skip to content
cs-conference-ranking.org

International Conference on Artificial Intelligence and Statistics

AISTATS

A

CORE rank

CORE rank (raw)

A

Acceptance rate

27.6% (2024)

Fields of research

Machine Learning · Artificial Intelligence

Papers indexed

4,516

1995–2025

Best Artificial Intelligence conferencesBest Machine Learning conferences

Papers per year

1995583 peak2025

Most published authors

AISTATS papers

4,516 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2024autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm.Miguel Biron-Lattes, Nikola Surjanovic, Saifuddin Syed, Trevor Campbell, Alexandre Bouchard-Ct
2024Meta Learning in Bandits within shared affine Subspaces.Steven Bilaj, Sofien Dhouib, Setareh Maghsudi
2024Classifier Calibration with ROC-Regularized Isotonic Regression.Eugene Berta, Francis R. Bach, Michael I. Jordan
2024Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games.Martino Bernasconi, Alberto Marchesi, Francesco Trov
2024Identifying Copeland Winners in Dueling Bandits with Indifferences.Viktor Bengs, Bjrn Haddenhorst, Eyke Hllermeier
2024MMD-based Variable Importance for Distributional Random Forest.Clment Bnard, Jeffrey Nf, Julie Josse
2024Multi-armed bandits with guaranteed revenue per arm.Dorian Baudry, Nadav Merlis, Mathieu Benjamin Molina, Hugo Richard, Vianney Perchet
2024Tight Verification of Probabilistic Robustness in Bayesian Neural Networks.Ben Batten, Mehran Hosseini, Alessio Lomuscio
2024Dissimilarity Bandits.Paolo Battellani, Alberto Maria Metelli, Francesco Trov
2024Revisiting the Noise Model of Stochastic Gradient Descent.Barak Battash, Lior Wolf, Ofir Lindenbaum
2024A Scalable Algorithm for Individually Fair k-Means Clustering.MohammadHossein Bateni, Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi
2024Hidden yet quantifiable: A lower bound for confounding strength using randomized trials.Piersilvio De Bartolomeis, Javier Abad Martinez, Konstantin Donhauser, Fanny Yang
2024Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results.Ainhize Barrainkua, Paula Gordaliza, Jos Antonio Lozano, Novi Quadrianto
2024BOBA: Byzantine-Robust Federated Learning with Label Skewness.Wenxuan Bao, Jun Wu, Jingrui He
2024Learning Under Random Distributional Shifts.Kirk C. Bansak, Elisabeth Paulson, Dominik Rothenhusler
2024Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs.Justin M. Baker, Qingsong Wang, Martin Berzins, Thomas Strohmer, Bao Wang
2024Autoregressive Bandits.Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran, Marco Mussi, Marcello Restelli, Nicola Gatti, Alberto Maria Metelli
2024A General Theoretical Paradigm to Understand Learning from Human Preferences.Mohammad Gheshlaghi Azar, Zhaohan Daniel Guo, Bilal Piot, Rmi Munos, Mark Rowland, Michal Valko, Daniele Calandriello
2024Approximate Leave-one-out Cross Validation for Regression with ℓArnab Auddy, Haolin Zou, Kamiar Rahnama Rad, Arian Maleki
2024Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification.Shivvrat Arya, Yu Xiang, Vibhav Gogate
2024Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models.Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
2024GmGM: a fast multi-axis Gaussian graphical model.Ethan B. Andrew, David R. Westhead, Luisa Cutillo
2024Delegating Data Collection in Decentralized Machine Learning.Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab
2024Recovery Guarantees for Distributed-OMP.Chen Amiraz, Robert Krauthgamer, Boaz Nadler
2024Fair k-center Clustering with Outliers.Daichi Amagata
1,076–1,100 of 4,516← PreviousNext →

Comparable venues

Other A*/A conferences filed under the same field of research.