AISTATS 2025 Conference Submissions

Differentially private algorithms for linear queries via stochastic convex optimization
Giorgio Micali, Clement LEZANE, Annika Betken
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
A Shared Low-Rank Adaptation Approach to Personalized RLHF
Renpu Liu, Peng Wang, Donghao Li, Cong Shen, Jing Yang
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Rate of Model Collapse in Recursive Training
Ananda Theertha Suresh, Andrew Thangaraj, Aditya Nanda Kishore Khandavally
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Proximal Sampler with Adaptive Step Size
Bo Yuan, Jiaojiao Fan, Jiaming Liang, Yongxin Chen
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
MEDUSA: Medical Data Under Shadow Attacks via Hybrid Model Inversion
Asfandyar Azhar, Paul Thielen, Curtis Langlotz
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
The VampPrior Mixture Model
Andrew A. Stirn, David A. Knowles
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Integer Programming Based Methods and Heuristics for Causal Graph Learning
Sanjeeb Dash, Joao Goncalves, Tian Gao
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Axiomatic Explainer Globalness via Optimal Transport
Davin Hill, Joshua Bone, Aria Masoomi, Max Torop, Jennifer Dy
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
UNHaP: Unmixing Noise from Hawkes Processes
Virginie Loison, Guillaume Staerman, Thomas Moreau
- Published: 22 Jan 2025, Last Modified: 07 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Representer Theorems for Metric and Preference Learning: Geometric Insights and Algorithms
Peyman Morteza
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Noisy Low-Rank Matrix Completion via Transformed $L_1$ Regularization and its Theoretical Properties
Kun Zhao, Jiayi Wang, Yifei Lou
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents
Safwan Labbi, Daniil Tiapkin, Lorenzo Mancini, Paul Mangold, Eric Moulines
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Optimal downsampling for Imbalanced Classification with Generalized Linear Models
Yan Chen, Jose Blanchet, Krzysztof Dembczynski, Laura Fee Nern, Aaron Eliasib Flores
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
SubSearch: Robust Estimation and Outlier Detection for Stochastic Block Models via Subgraph Search
Leonardo Bianco, Christine Keribin, Zacharie Naulet
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Sequential Kernelized Stein Discrepancy
Diego Martinez-Taboada, Aaditya Ramdas
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
MING: A Functional Approach to Learning Molecular Generative Models
Van Khoa Nguyen, Maciej Falkiewicz, Giangiacomo Mercatali, Alexandros Kalousis
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Unbiased Quantization of the $L_1$ Ball for Communication-Efficient Distributed Mean Estimation
Nithish Suresh Babu, Ritesh Kumar, Shashank Vatedka
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model
Francesco Saverio Pezzicoli, Valentina Ros, François P. Landes, Marco Baity-Jesi
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Parameter estimation in state space models using particle importance sampling
Yuxiong Gao, Wentao Li, Rong Chen
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
On the Relationship Between Robustness and Expressivity of Graph Neural Networks
Lorenz Kummer, Wilfried N. Gansterer, Nils Morten Kriege
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Robust Score Matching
Richard Schwank, Andrew McCormack, Mathias Drton
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
A primer on linear classification with missing data
Angel David REYERO LOBO, Alexis Ayme, Claire Boyer, Erwan Scornet
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent
Guillaume Braun, Minh Ha Quang, Masaaki Imaizumi
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Efficient Optimization Algorithms for Linear Adversarial Training
Antonio H. Ribeiro, Thomas B. Schön, Dave Zachariah, Francis Bach
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms
Måns Magnusson, Jakob Torgander, Paul-Christian Bürkner, Lu Zhang, Bob Carpenter, Aki Vehtari
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone