AISTATS 2025 Conference Submissions

ScoreFusion: Fusing Score-based Generative Models via Kullback–Leibler Barycenters
Hao Liu, Tony Junze Ye, Jose Blanchet, Nian Si
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone
Active Feature Acquisition for Personalised Treatment Assignment
Julianna Piskorz, Nicolás Astorga, Jeroen Berrevoets, Mihaela van der Schaar
- Published: 22 Jan 2025, Last Modified: 16 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
MODL: Multilearner Online Deep Learning
Antonios Valkanas, Boris N. Oreshkin, Mark Coates
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Behavior-Inspired Neural Networks for Relational Inference
Yulong Yang, Bowen Feng, Keqin Wang, Naomi Leonard, Adji Bousso Dieng, Christine Allen-Blanchette
- Published: 22 Jan 2025, Last Modified: 16 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect
Ojash Neopane, Aaditya Ramdas, Aarti Singh
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Time-varying Gaussian Process Bandits with Unknown Prior
Juliusz Ziomek, Masaki Adachi, Michael A Osborne
- Published: 22 Jan 2025, Last Modified: 16 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization
Sudeep Salgia, Nikola Pavlovic, Yuejie Chi, Qing Zhao
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Synthetic Potential Outcomes and Causal Mixture Identifiability
Bijan Mazaheri, Chandler Squires, Caroline Uhler
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Signal Recovery from Random Dot-Product Graphs under Local Differential Privacy
Siddharth Vishwanath, Jonathan Hehir
- Published: 22 Jan 2025, Last Modified: 21 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Cross-modality Matching and Prediction of Perturbation Responses with Labeled Gromov-Wasserstein Optimal Transport
Jayoung Ryu, Charlotte Bunne, Luca Pinello, Aviv Regev, Romain Lopez
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Linear Submodular Maximization with Bandit Feedback
Wenjing Chen, Victoria G. Crawford
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders
Christian Toth, Christian Knoll, Franz Pernkopf, Robert Peharz
- Published: 22 Jan 2025, Last Modified: 13 Feb 2025
- AISTATS 2025 Poster
- Readers: Everyone
From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation
Wenyuan Zhao, Haoyuan Chen, Tie Liu, Rui Tuo, Chao Tian
- Published: 22 Jan 2025, Last Modified: 15 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Robust Estimation in metric spaces: Achieving Exponential Concentration with a Fr\'echet Median
Jakwang Kim, Jiyoung Park, Anirban Bhattacharya
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits
Ha Manh Bui, Enrique Mallada, Anqi Liu
- Published: 22 Jan 2025, Last Modified: 15 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence
Berfin Simsek, Amire Bendjeddou, Daniel Hsu
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Local Stochastic Sensitivity Analysis For Dynamical Systems
Nishant Panda, Jehanzeb H Chaudhry, Natalie Klein, James Carzon, Troy Butler
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
The cost of local and global fairness in Federated Learning
Yuying Duan, Gelei Xu, Yiyu Shi, Michael Lemmon
- Published: 22 Jan 2025, Last Modified: 15 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Approximate Equivariance in Reinforcement Learning
Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L.S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Achieving $\widetilde{\mathcal{O}}(\sqrt{T})$ Regret in Average-Reward POMDPs with Known Observation Models
Alessio Russo, Alberto Maria Metelli, Marcello Restelli
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
InfoNCE: Identifying the Gap Between Theory and Practice
Evgenia Rusak, Patrik Reizinger, Attila Juhos, Oliver Bringmann, Roland S. Zimmermann, Wieland Brendel
- Published: 22 Jan 2025, Last Modified: 07 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
Houssam Zenati, Judith Abécassis, Julie Josse, Bertrand Thirion
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Deep Generative Quantile Bayes
Jungeum Kim, Percy S. Zhai, Veronika Rockova
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Learning High-dimensional Gaussians from Censored Data
Arnab Bhattacharyya, Constantinos Costis Daskalakis, Themis Gouleakis, Yuhao Wang
- Published: 22 Jan 2025, Last Modified: 21 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
All or None: Identifiable Linear Properties of Next-Token Predictors in Language Modeling
Emanuele Marconato, Sebastien Lachapelle, Sebastian Weichwald, Luigi Gresele
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone