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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

AISTATS papers

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

YearTitleAuthors
2024Robust Sparse Voting.Youssef Allouah, Rachid Guerraoui, L-Nguyn Hoang, Oscar Villemaud
2024Pessimistic Off-Policy Multi-Objective Optimization.Shima Alizadeh, Aniruddha Bhargava, Karthick Gopalswamy, Lalit Jain, Branislav Kveton, Ge Liu
2024Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection.Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
2024Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints.Ahmet Alacaoglu, Stephen J. Wright
2024Multi-Domain Causal Representation Learning via Weak Distributional Invariances.Kartik Ahuja, Amin Mansouri, Yixin Wang
2024Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning.Maheed H. Ahmed, Mahsa Ghasemi
2024Agnostic Multi-Robust Learning using ERM.Saba Ahmadi, Avrim Blum, Omar Montasser, Kevin M. Stangl
2024Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio.Amirhossein Ahmadian, Yifan Ding, Gabriel Eilertsen, Fredrik Lindsten
2024Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels.Tamim El Ahmad, Luc Brogat-Motte, Pierre Laforgue, Florence d'Alch-Buc
2024Sharp error bounds for imbalanced classification: how many examples in the minority class?Anass Aghbalou, Anne Sabourin, Franois Portier
2024Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling.Arman Adibi, Nicol Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
2024Looping in the Human: Collaborative and Explainable Bayesian Optimization.Masaki Adachi, Brady Planden, David A. Howey, Michael A. Osborne, Sebastian Orbell, Natalia Ares, Krikamol Muandet, Siu Lun Chau
2024Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach.Masaki Adachi, Satoshi Hayakawa, Martin Jrgensen, Xingchen Wan, Vu Nguyen, Harald Oberhauser, Michael A. Osborne
2024Multitask Online Learning: Listen to the Neighborhood Buzz.Juliette Achddou, Nicol Cesa-Bianchi, Pierre Laforgue
2024Imposing Fairness Constraints in Synthetic Data Generation.Mahed Abroshan, Andrew Elliott, Mohammad Mahdi Khalili
2024Lexicographic Optimization: Algorithms and Stability.Jacob D. Abernethy, Robert E. Schapire, Umar Syed
2024On the Nystrm Approximation for Preconditioning in Kernel Machines.Amirhesam Abedsoltan, Parthe Pandit, Luis Rademacher, Mikhail Belkin
2024Enhancing In-context Learning via Linear Probe Calibration.Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen
2024TenGAN: Pure Transformer Encoders Make an Efficient Discrete GAN for De Novo Molecular Generation.Chen Li, Yoshihiro Yamanishi
2024Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias.Yu Yang, Eric Gan, Gintare Karolina Dziugaite, Baharan Mirzasoleiman
2024BLIS-Net: Classifying and Analyzing Signals on Graphs.Charles Xu, Laney Goldman, Valentina Guo, Benjamin Hollander-Bodie, Maedee Trank-Greene, Ian Adelstein, Edward De Brouwer, Rex Ying, Smita Krishnaswamy, Michael Perlmutter
2024On Feynman-Kac training of partial Bayesian neural networks.Zheng Zhao, Sebastian Mair, Thomas B. Schn, Jens Sjlund
2024Self-Supervised Quantization-Aware Knowledge Distillation.Kaiqi Zhao, Ming Zhao
2024Solving Attention Kernel Regression Problem via Pre-conditioner.Zhao Song, Junze Yin, Lichen Zhang
2024Fast Dynamic Sampling for Determinantal Point Processes.Zhao Song, Junze Yin, Lichen Zhang, Ruizhe Zhang
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