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Papers
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates
AAAI 2025
Conformalized Deep Splines for Optimal and Efficient Prediction Sets
AISTATS 2024
Squared Neural Families: A New Class of Tractable Density Models
NeurIPS 2023
Wasserstein Distributional Learning via Majorization-Minimization
AISTATS 2023
Adaptive Greedy Algorithm for Moderately Large Dimensions in Kernel Conditional Density Estimation
JMLR 2022
Posterior Matching for Arbitrary Conditioning
NeurIPS 2022
Kernel Conditional Density Operators
AISTATS 2020
Robust modal regression with direct gradient approximation of modal regression risk
UAI 2020
Sum-of-Squares Polynomial Flow
ICML 2019
Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities
ACML 2015
Copula Bayesian Networks
NeurIPS 2010