Co-occurring keywords · papers mentioning both
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