conftrace_

non-parametric estimation

23 papers

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Co-occurring keywords

kernel methods (1097) kernel density estimation (80) nonparametric estimation (98) mutual information (724) outlier detection (319) singular value (17) stochastic dynamical system (12) interval markov decision process (3) adversarial noise (36) integral operator (6)

Papers

Collaborative likelihood-ratio estimation over graphs JMLR 2025
Formal Verification of Unknown Stochastic Systems via Non-parametric Estimation AISTATS 2024
Estimation of the Order of Non-Parametric Hidden Markov Models using the Singular Values of an Integral Operator JMLR 2024
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization AISTATS 2024
A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding NIPS 2024
Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection AAAI 2023
Robust Kernel Density Estimation with Median-of-Means principle ICML 2022
Modeling extremes with $d$-max-decreasing neural networks UAI 2022
Kernel-Based Reinforcement Learning: A Finite-Time Analysis ICML 2021
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate AAAI 2021
Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks AAAI 2021
Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach L4DC 2020
Distributionally Robust Local Non-parametric Conditional Estimation NIPS 2020
Estimation of Skill Distribution from a Tournament NIPS 2020
Approximation and non-parametric estimation of ResNet-type convolutional neural networks ICML 2019
Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm AISTATS 2019
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations CVPR 2019
Communication-Efficient Distributed Learning of Discrete Distributions NIPS 2017
Consistent Kernel Mean Estimation for Functions of Random Variables NIPS 2016
Efficient Estimation of Mutual Information for Strongly Dependent Variables AISTATS 2015
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation AISTATS 2015
Locating Changes in Highly Dependent Data with Unknown Number of Change Points NIPS 2012
REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization AISTATS 2010