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Papers
Treatment Effects Estimation By Uniform Transformer
ICLR 2024
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models
JMLR 2023
Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks
ICLR 2023
Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection
AAAI 2023
Instrumental Variable Estimation of Average Partial Causal Effects
ICML 2023
Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness
COLT 2023
Nonparametric Indirect Active Learning
AISTATS 2023
Adaptive Greedy Algorithm for Moderately Large Dimensions in Kernel Conditional Density Estimation
JMLR 2022
Causal inference with treatment measurement error: a nonparametric instrumental variable approach
UAI 2022
Change point localization in dependent dynamic nonparametric random dot product graphs
JMLR 2022
Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved Regrets
NeurIPS 2022
LinCDE: Conditional Density Estimation via Lindsey's Method
JMLR 2022
Mean-field nonparametric estimation of interacting particle systems
COLT 2022
Modeling extremes with d-max-decreasing neural networks
UAI 2022
Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach
JMLR 2022
Nonparametric adaptive control and prediction: theory and randomized algorithms
JMLR 2022
Nonparametric Neighborhood Selection in Graphical Models
JMLR 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
NeurIPS 2022
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation
ICML 2022
Robust Kernel Density Estimation with Median-of-Means principle
ICML 2022
Adaptive estimation of nonparametric functionals
JMLR 2021
A Statistical Taylor Theorem and Extrapolation of Truncated Densities
COLT 2021
Beyond the Signs: Nonparametric Tensor Completion via Sign Series
NeurIPS 2021
Consistent estimation of small masses in feature sampling
JMLR 2021
Counterfactual Mean Embeddings
JMLR 2021