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Papers
Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions
ICML 2025
Conditional Bayesian Quadrature
UAI 2024
Multistep Distillation of Diffusion Models via Moment Matching
NeurIPS 2024
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality
AISTATS 2023
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
ICML 2022
Crystallization Learning with the Delaunay Triangulation
ICML 2021
Oblivious Data for Fairness with Kernels
JMLR 2021
Conditional Importance Sampling for Off-Policy Learning
AISTATS 2020
Plug-in Estimators for Conditional Expectations and Probabilities
AISTATS 2018
Online Trajectory Planning in Dynamic Environments for Surgical Task Automation
RSS 2014
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
JMLR 2006