nonparametric estimation

Inductive Mutual Information Estimation: A Convex Maximum-Entropy Copula Approach AISTATS 2021 Kernel-Based Reinforcement Learning: A Finite-Time Analysis ICML 2021 Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks AAAI 2021 Nonparametric estimation of continuous DPPs with kernel methods NeurIPS 2021 Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms AISTATS 2021 Nonparametric Modeling of Higher-Order Interactions via Hypergraphons JMLR 2021 Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions JMLR 2021 Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate AAAI 2021 Uncovering Latent Biases in Text: Method and Application to Peer Review AAAI 2021 A polynomial-time algorithm for learning nonparametric causal graphs NeurIPS 2020 Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach L4DC 2020 Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations NeurIPS 2020 Distributionally Robust Local Non-parametric Conditional Estimation NeurIPS 2020 Estimation of Skill Distribution from a Tournament NeurIPS 2020 Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting AAAI 2020 Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space JMLR 2020 Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects NeurIPS 2020 Nonparametric Estimation in the Dynamic Bradley-Terry Model AISTATS 2020 Semi-parametric Learning of Structured Temporal Point Processes JMLR 2020 Smoothed Nonparametric Derivative Estimation using Weighted Difference Quotients JMLR 2020 Ultra-High Dimensional Single-Index Quantile Regression JMLR 2020 An asymptotic analysis of distributed nonparametric methods JMLR 2019 Approximation and non-parametric estimation of ResNet-type convolutional neural networks ICML 2019 Joint Manifold Diffusion for Combining Predictions on Decoupled Observations CVPR 2019 Latent distance estimation for random geometric graphs NeurIPS 2019