conftrace_

kernel smoothing

23 papers

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Co-occurring keywords

nonparametric estimation (98) stochastic process (388) nonparametric regression (111) bayesian inference (1907) causal inference (1630) time series analysis (175) peri-stimulus time histogram (1) spike density function (1) contrastive divergence (32) excess risk (66)

Papers

Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing AAAI 2024
Distributed Nonparametric Regression Imputation for Missing Response Problems with Large-scale Data JMLR 2023
Simple Hardware-Efficient Long Convolutions for Sequence Modeling ICML 2023
Nonparametric Density Estimation under Distribution Drift ICML 2023
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks NIPS 2023
LinCDE: Conditional Density Estimation via Lindsey's Method JMLR 2022
Adversarially Robust Kernel Smoothing AISTATS 2022
Learning Kernel-Smoothed Machine Translation with Retrieved Examples EMNLP 2021
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments NIPS 2021
Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data JMLR 2021
Nonparametric Estimation in the Dynamic Bradley-Terry Model AISTATS 2020
Statistical guarantees for local graph clustering AISTATS 2020
Smoothed Nonparametric Derivative Estimation using Weighted Difference Quotients JMLR 2020
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models JMLR 2018
Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods AISTATS 2018
Hypothesis Transfer Learning via Transformation Functions NIPS 2017
Learning Heterogeneous Hidden Markov Random Fields AISTATS 2014
Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations ICML 2013
Fast Patch-Based Denoising Using Approximated Patch Geodesic Paths CVPR 2013
Automatic Feature Induction for Stagewise Collaborative Filtering NIPS 2012
Slice sampling normalized kernel-weighted completely random measure mixture models NIPS 2012
Robust Nonparametric Regression with Metric-Space Valued Output NIPS 2009
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NIPS 2007