AISTATS 2025 Conference Submissions

A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks
Uday Kiran Reddy Tadipatri, Benjamin David Haeffele, Joshua Agterberg, Rene Vidal
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
The Strong Product Model for Network Inference without Independence Assumptions
Bailey Andrew, David Robert Westhead, Luisa Cutillo
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment
Qizhang Feng, Siva Rajesh Kasa, SANTHOSH KUMAR KASA, Hyokun Yun, Choon Hui Teo, Sravan Babu Bodapati
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations
Amir Joudaki, Thomas Hofmann
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Task-Driven Discrete Representation Learning
Long Tung Vuong
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Clustering Context in Off-Policy Evaluation
Daniel Guzman Olivares, Philipp Schmidt, Jacek Golebiowski, Artur Bekasov
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Mean-Field Microcanonical Gradient Descent
Marcus Häggbom, Morten Karlsmark, Joakim Andén
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Training Neural Samplers with Reverse Diffusive KL Divergence
Jiajun He, Wenlin Chen, Mingtian Zhang, David Barber, José Miguel Hernández-Lobato
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications
Erfan Mirzaei, Andreas Maurer, Vladimir R Kostic, Massimiliano Pontil
- Published: 22 Jan 2025, Last Modified: 16 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling
Xudong Sun, Nutan Chen, Alexej Gossmann, Yu Xing, Matteo Wohlrapp, Emilio Dorigatti, Carla Feistner, Felix Drost, Daniele Scarcella, Lisa Helen Beer, Carsten Marr
- Published: 22 Jan 2025, Last Modified: 16 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer, Julia Herbinger
- Published: 22 Jan 2025, Last Modified: 12 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy
Roman Malashin, Yachnaya Valeria, Alexandr V. Mullin
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Strategic Conformal Prediction
Daniel Csillag, Claudio Jose Struchiner, Guilherme Tegoni Goedert
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
AlleNoise - large-scale text classification benchmark dataset with real-world label noise
Alicja Rączkowska, Aleksandra Osowska-Kurczab, Jacek Szczerbiński, Kalina Jasinska-Kobus, Klaudia Nazarko
- Published: 22 Jan 2025, Last Modified: 16 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Certifiably Quantisation-Robust training and inference of Neural Networks
Hue Dang, Matthew Robert Wicker, Goetz Botterweck, Andrea Patane
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone
Density Ratio-based Proxy Causal Learning Without Density Ratios
Bariscan Bozkurt, Ben Deaner, Dimitri Meunier, Liyuan Xu, Arthur Gretton
- Published: 22 Jan 2025, Last Modified: 16 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
DPFL: Decentralized Personalized Federated Learning
Salma Kharrat, Marco Canini, Samuel Horváth
- Published: 22 Jan 2025, Last Modified: 21 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Analyzing Generative Models by Manifold Entropic Metrics
Daniel Galperin, Ullrich Koethe
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients
Satish Kumar Keshri, Nazreen Shah, Ranjitha Prasad
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Level Set Teleportation: An Optimization Perspective
Aaron Mishkin, Alberto Bietti, Robert M. Gower
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
Zhi Zhang, Chris Chow, Yasi Zhang, Yanchao Sun, Haochen Zhang, Eric Hanchen Jiang, Han Liu, Furong Huang, Yuchen Cui, OSCAR HERNAN MADRID PADILLA
- Published: 22 Jan 2025, Last Modified: 16 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guanchu Wang, Dimitrios Pezaros, Guangxu Zhu
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
On Local Posterior Structure in Deep Ensembles
Mikkel Jordahn, Jonas Vestergaard Jensen, Mikkel N. Schmidt, Michael Riis Andersen
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation
Paul Mangold, Alain Oliviero Durmus, Aymeric Dieuleveut, Sergey Samsonov, Eric Moulines
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone