Multi-Agent Lipschitz Bandits
Accepted at the Twenty-Ninth International Conference on Artificial Intelligence and Statistics.
All Publications
Complete list of papers, journals, and related artifacts.
Flickering Multi-Armed Bandits
Accepted oral presentation at the 8th Annual Learning for Dynamics and Control Conference.
A Unified Framework for Locality in Scalable MARL
Accepted at the 8th Annual Learning for Dynamics and Control Conference.
Incentivized Lipschitz Bandits
Published at the 64th IEEE Conference on Decision and Control.
Replicable Learning in Quantum Systems
Poster presentation at Quantum Information Processing.
Hamiltonian Learning using Machine Learning Models Trained with Continuous Measurements
Journal publication on learning Hamiltonians from continuous measurements.
Theoretical Foundations and Novel Metrics for Comprehensive Evaluation of Multimodal Generative Models
Workshop paper on evaluation metrics and theory for multimodal generative models.
Hamiltonian Learning using Machine Learning Models Trained with Continuous Measurements
NeurIPS workshop version of continuous-measurement Hamiltonian learning work.
Influence Estimation in Self-Supervised Learning
Workshop paper on influence estimation methods for self-supervised learning.
The Probe Paradigm: A Theoretical Foundation for Explaining Generative Models
Theoretical framework for model explanation in generative systems.
Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning
Preprint on label-free influence estimation for self-supervised learning.
Evaluating the distribution learning capabilities of GANs
Study of GAN distribution learning behavior across controlled synthetic settings.