AISTATS 2025 Conference Submissions

Type Information-Assisted Self-Supervised Knowledge Graph Denoising
Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Distance Estimation for High-Dimensional Discrete Distributions
Kuldeep S. Meel, Gunjan Kumar, Yash Pote
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Balls-and-Bins Sampling for DP-SGD
Lynn Chua, Badih Ghazi, Charlie Harrison, Pritish Kamath, Ravi Kumar, Ethan Jacob Leeman, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang
- Published: 22 Jan 2025, Last Modified: 08 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone
Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression
Yingqian Cui, Jie Ren, Pengfei He, Hui Liu, Jiliang Tang, Yue Xing
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes
Keyue Jiang, Bohan Tang, Xiaowen Dong, Laura Toni
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Microfoundation inference for strategic prediction
Daniele Bracale, Subha Maity, Felipe Maia Polo, Seamus Somerstep, Moulinath Banerjee, Yuekai Sun
- Published: 22 Jan 2025, Last Modified: 22 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
Suqi Liu, Morgane Austern
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Fundamental Limits of Perfect Concept Erasure
Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Ahmad Beirami, Rahul Kidambi, Nicholas Monath, Amr Ahmed, Snigdha Chaturvedi
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Near-optimal algorithms for private estimation and sequential testing of collision probability
Robert Istvan Busa-Fekete, Umar Syed
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Poisoning Bayesian Inference via Data Deletion and Replication
Matthieu Carreau, Roi Naveiro, William N. Caballero
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning
Aya Kayal, Sattar Vakili, Laura Toni, Alberto Bernacchia
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Global Group Fairness in Federated Learning via Function Tracking
Yves Rychener, Daniel Kuhn, Yifan Hu
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Entropic Matching for Expectation Propagation of Markov Jump Processes
Yannick Eich, Bastian Alt, Heinz Koeppl
- Published: 22 Jan 2025, Last Modified: 11 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone
Tamed Langevin sampling under weaker conditions
Iosif Lytras, Panayotis Mertikopoulos
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Collaborative non-parametric two-sample testing
Alejandro David De la Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos
- Published: 22 Jan 2025, Last Modified: 07 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Get rid of your constraints and reparametrize: A study in NNLS and implicit bias
Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun, Bernardo Freitas Paulo da Costa, Heudson Mirandola
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Consistent Validation for Predictive Methods in Spatial Settings
David R. Burt, Yunyi Shen, Tamara Broderick
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Cubic regularized subspace Newton for non-convex optimization
Jim Zhao, Nikita Doikov, Aurelien Lucchi
- Published: 22 Jan 2025, Last Modified: 09 Mar 2025
- AISTATS 2025 Oral
- Readers: Everyone
On Tradeoffs in Learning-Augmented Algorithms
Ziyad Benomar, Vianney Perchet
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Ordered $\mathcal{V}$-information Growth: A Fresh Perspective on Shared Information
Rohan Ghosh, Mehul Motani
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Safe exploration in reproducing kernel Hilbert spaces
Abdullah Tokmak, Kiran G. Krishnan, Thomas B. Schön, Dominik Baumann
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Score matching for bridges without learning time-reversals
Elizabeth Louise Baker, Moritz Schauer, Stefan Sommer
- Published: 22 Jan 2025, Last Modified: 07 Apr 2025
- AISTATS 2025 Poster
- Readers: Everyone
Learning signals defined on graphs with optimal transport and Gaussian process regression
Raphael Carpintero Perez, Sébastien Da Veiga, Josselin Garnier, Brian Staber
- Published: 22 Jan 2025, Last Modified: 07 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Stein Boltzmann Sampling: A Variational Approach for Global Optimization
Gaëtan Serré, Argyris Kalogeratos, Nicolas Vayatis
- Published: 22 Jan 2025, Last Modified: 06 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone
Optimal estimation of linear non-Gaussian structure equation models
Sunmin Oh, Seungsu Han, Gunwoong Park
- Published: 22 Jan 2025, Last Modified: 10 Mar 2025
- AISTATS 2025 Poster
- Readers: Everyone