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kernel smoothing

26 papers

Papers

Inference with non-differentiable surrogate loss in a general high-dimensional classification framework JMLR 2026 Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing AAAI 2024 MAP IT to Visualize Representations ICLR 2024 Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing ICLR 2024 Distributed Nonparametric Regression Imputation for Missing Response Problems with Large-scale Data JMLR 2023 Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks NeurIPS 2023 Nonparametric Density Estimation under Distribution Drift ICML 2023 Simple Hardware-Efficient Long Convolutions for Sequence Modeling ICML 2023 Adversarially Robust Kernel Smoothing AISTATS 2022 LinCDE: Conditional Density Estimation via Lindsey's Method JMLR 2022 Double Machine Learning Density Estimation for Local Treatment Effects with Instruments NeurIPS 2021 Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data JMLR 2021 Learning Kernel-Smoothed Machine Translation with Retrieved Examples EMNLP 2021 Nonparametric Estimation in the Dynamic Bradley-Terry Model AISTATS 2020 Smoothed Nonparametric Derivative Estimation using Weighted Difference Quotients JMLR 2020 Statistical guarantees for local graph clustering AISTATS 2020 Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods AISTATS 2018 Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models JMLR 2018 Hypothesis Transfer Learning via Transformation Functions NeurIPS 2017 Learning Heterogeneous Hidden Markov Random Fields AISTATS 2014 Fast Patch-Based Denoising Using Approximated Patch Geodesic Paths CVPR 2013 Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations ICML 2013 Automatic Feature Induction for Stagewise Collaborative Filtering NeurIPS 2012 Slice sampling normalized kernel-weighted completely random measure mixture models NeurIPS 2012 Robust Nonparametric Regression with Metric-Space Valued Output NeurIPS 2009