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AISTATS 2026 Conference Submissions

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Near-Optimal Clustering in Mixture of Markov Chains
Junghyun Lee, Yassir Jedra, Alexandre Proutiere, Se-Young Yun
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
Tight Analysis of Decentralized SGD: a Markov Chain Perspective
Lucas Versini, Paul Mangold, Aymeric Dieuleveut
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
Near-optimal Rank Adaptive Inference of High Dimensional Matrices
Frédéric Zheng, Yassir Jedra, Alexandre Proutiere
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
Learning Physical Operators using Neural Operators
Vignesh Gopakumar, Ander Gray, Daniel Giles, Lorenzo Zanisi, Matt J. Kusner, Timo Betcke, Stanislas Pamela, Marc Peter Deisenroth
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
Unmixing Mean Embeddings for Domain Adaptation with Target Label Proportion
Alain Rakotomamonjy, Maxime Berar, Mokhtar Z. Alaya
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
Fact-Augmented Lookahead Planning for LLM Agents
Samuel Holt, Max Ruiz Luyten, Thomas Pouplin, Mihaela van der Schaar
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
Adaptive Coverage Policies in Conformal Prediction
Etienne Gauthier, Francis Bach, Michael I. Jordan
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
Generalized and Optimal Straight-Through Estimators
James Hooper, Alexander Shekhovtsov
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Spotlight
- Readers: Everyone
Uncertainty Quantification for Named Entity Recognition via Conformal Prediction
Matthew Singer, Karl Pazdernik, Srijan Sengupta
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
Lower Bounds for Public-Private Learning under Distribution Shift
Amrith Setlur, Pratiksha Thaker, Jonathan Ullman
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
The Rashomon Effect for Visualizing High-Dimensional Data
Yiyang Sun, Haiyang Huang, Gaurav Rajesh Parikh, Cynthia Rudin
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
Fast and Robust Simulation-Based Inference With Optimization Monte Carlo
Vasileios Gkolemis, Christos Diou, Michael U. Gutmann
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
On the Convergence and Stability of Distributed Sub-model Training
Yuyang Deng, Fuli Qiao, Mehrdad Mahdavi
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
Statistical-computational gap in multiple Gaussian graph alignment
Bertrand Even, Luca Ganassali
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
EventFlow: Forecasting Temporal Point Processes with Flow Matching
Gavin Kerrigan, Kai Nelson, Padhraic Smyth
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Oral
- Readers: Everyone
High Effort, Low Gain: Fundamental Limits of Active Learning for Linear Dynamical Systems
Nicolas Chatzikiriakos, Kevin Jamieson, Andrea Iannelli
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Spotlight
- Readers: Everyone
Stick-Breaking Embedded Topic Model with Continuous Optimal Transport for Online Analysis of Document Streams
Federica Granese, Serena Villata, Charles Bouveyron
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
DP-SPRT: Differentially Private Sequential Probability Ratio Tests
Thomas Michel, Debabrota Basu, Emilie Kaufmann
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Spotlight
- Readers: Everyone
Graph Learning is Suboptimal in Causal Bandits
Mohammad Shahverdikondori, Jalal Etesami, Negar Kiyavash
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
Entropic Projection Alignment: Estimating, Explaining, and Improving Model Performance Under Distribution Shift
Salim I. Amoukou, Emanuele Albini, Tom Bewley, Saumitra Mishra, Manuela Veloso
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
Standard Acquisition Is Sufficient for Asynchronous Bayesian Optimization
Ben Riegler, James A C Odgers, Vincent Fortuin
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Spotlight
- Readers: Everyone
SetPINNs: Set-based Physics-informed Neural Networks
Mayank Nagda, Phil Ostheimer, Thomas Specht, Frank Rhein, Fabian Jirasek, Stephan Mandt, Marius Kloft, Sophie Fellenz
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Spotlight
- Readers: Everyone
Provably Efficient Reinforcement Learning for Sparse Dynamical Systems with Non-Gaussian Noise
Davide Maran, Gianmarco Tedeschi, Enea Gusmeroli, Marcello Restelli
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
Tractable Shapley Values and Interactions via Tensor Networks
Farzaneh Heidari, Chao Li, Guillaume Rabusseau
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone
Mask-Conditional Conformal Prediction: Valid Uncertainty For All Missing Data Mechanisms
JIARONG FAN, Juhyun Park, Thi Phuong Thuy Vo, Nicolas J-B. Brunel
- Published: 03 Feb 2026, Last Modified: 02 May 2026
- AISTATS 2026 Poster
- Readers: Everyone

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