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
Papers per year
1995583 peak2025
Most published authors
AISTATS papers
4,516 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2022 | Synthsonic: Fast, Probabilistic modeling and Synthesis of Tabular Data. | Max Baak, Simon Brugman, Ilan Fridman Rojas, Lorraine Dalmeida, Ralph E. Q. Urlus, Jean-Baptiste Oger |
| 2022 | Equivariant Deep Dynamical Model for Motion Prediction. | Bahar Azari, Deniz Erdogmus |
| 2022 | Can we Generalize and Distribute Private Representation Learning? | Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher G. Brinton |
| 2022 | Deep Non-crossing Quantiles through the Partial Derivative. | Axel Brando, Joan Gimeno, Jos A. Rodrguez-Serrano, Jordi Vitri |
| 2022 | Investigating the Role of Negatives in Contrastive Representation Learning. | Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Dipendra Misra |
| 2022 | A prior-based approximate latent Riemannian metric. | Georgios Arvanitidis, Bogdan M. Georgiev, Bernhard Schlkopf |
| 2022 | Pulling back information geometry. | Georgios Arvanitidis, Miguel Gonzlez Duque, Alison Pouplin, Dimitrios Kalatzis, Sren Hauberg |
| 2022 | Policy Learning and Evaluation with Randomized Quasi-Monte Carlo. | Sbastien M. R. Arnold, Pierre L'Ecuyer, Liyu Chen, Yi-Fan Chen, Fei Sha |
| 2022 | Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach. | Setareh Ariafar, Justin Gilmer, Zachary Nado, Jasper Snoek, Rodolphe Jenatton, George E. Dahl |
| 2022 | VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. | Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian |
| 2022 | Accurate Shapley Values for explaining tree-based models. | Salim I. Amoukou, Tangi Salan, Nicolas J.-B. Brunel |
| 2022 | On perfectness in Gaussian graphical models. | Arash A. Amini, Bryon Aragam, Qing Zhou |
| 2022 | An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. | Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues |
| 2022 | LocoProp: Enhancing BackProp via Local Loss Optimization. | Ehsan Amid, Rohan Anil, Manfred K. Warmuth |
| 2022 | Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures. | Matas Altamirano, Felipe A. Tobar |
| 2022 | Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms. | Joshua Agterberg, Jeremias Sulam |
| 2022 | Leveraging Time Irreversibility with Order-Contrastive Pre-training. | Monica N. Agrawal, Hunter Lang, Michael Offin, Lior Gazit, David A. Sontag |
| 2022 | Reconstructing Test Labels from Noisy Loss Functions. | Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier |
| 2022 | Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods. | Chirag Agarwal, Marinka Zitnik, Himabindu Lakkaraju |
| 2022 | PAC Top-k Identification under SST in Limited Rounds. | Arpit Agarwal, Sanjeev Khanna, Prathamesh Patil |
| 2022 | A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions. | Ben Adlam, Jake A. Levinson, Jeffrey Pennington |
| 2022 | Minimax Optimization: The Case of Convex-Submodular. | Arman Adibi, Aryan Mokhtari, Hamed Hassani |
| 2022 | Robust Training in High Dimensions via Block Coordinate Geometric Median Descent. | Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu |
| 2022 | Fast and accurate optimization on the orthogonal manifold without retraction. | Pierre Ablin, Gabriel Peyr |
| 2022 | Acceleration in Distributed Optimization under Similarity. | Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander V. Gasnikov |
2,076–2,100 of 4,516← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICMLInternational Conference on Machine Learning
- A*ICLRInternational Conference on Learning Representations
- A*COLTConference on Learning Theory
- APPSNParallel Problem Solving from Nature
- AECML PKDDEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)
- A*NeurIPSAdvances in Neural Information Processing Systems (was NIPS)