Explaining the Success of Nearest Neighbor Methods in Prediction

21 February 2025

Papers citing "Explaining the Success of Nearest Neighbor Methods in Prediction"

41 / 41 papers shown

Title
Exploiting Observation Bias to Improve Matrix Completion Yassir Jedra Sean Mann Charlotte Park Devavrat Shah 35 1 0 03 Jan 2025
Learning Counterfactual Distributions via Kernel Nearest Neighbors Kyuseong Choi Jacob Feitelberg Anish Agarwal Raaz Dwivedi OOD OffRL 34 0 0 17 Oct 2024
Fast Computation of Leave-One-Out Cross-Validation for $k$ -NN Regression Motonobu Kanagawa 19 0 0 08 May 2024
kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection Marcos Matabuena J. Vidal Oscar Hernan Madrid Padilla J. Onnela 19 4 0 02 Feb 2024
Two Phases of Scaling Laws for Nearest Neighbor Classifiers Pengkun Yang J. Zhang 13 0 0 16 Aug 2023
MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities Boqi Chen Marc Niethammer 28 1 0 17 Mar 2023
Data-Driven Sample Average Approximation with Covariate Information R. Kannan G. Bayraksan James R. Luedtke 17 43 0 27 Jul 2022
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee George H. Chen 16 2 0 21 Jun 2022
Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search Ninh D. Pham Tao Liu 14 8 0 03 Jun 2022
DNNR: Differential Nearest Neighbors Regression Youssef Nader Leon Sixt Tim Landgraf 29 13 0 17 May 2022
Enhanced Nearest Neighbor Classification for Crowdsourcing Jiexin Duan Xingye Qiao Guang Cheng 17 0 0 26 Feb 2022
Federated Optimization of Smooth Loss Functions Ali Jadbabaie A. Makur Devavrat Shah FedML 17 7 0 06 Jan 2022
Causal Matrix Completion Anish Agarwal M. Dahleh Devavrat Shah Dennis Shen CML 48 51 0 30 Sep 2021
Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers H. Yu Shihfeng Zeng Teng Zhang Ing-Chao Lin Yier Jin AAML 25 1 0 22 Sep 2021
A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning Dai Feng R. Baumgartner 19 0 0 19 Aug 2021
Point Cloud Failure Criterion for Composites using k-Nearest Neighbor Classification S. Rajan B. Khaled Loukham Shyamsunder AI4CE 11 1 0 04 Jun 2021
Fast rates in structured prediction Vivien A. Cabannes Alessandro Rudi Francis R. Bach 11 19 0 01 Feb 2021
Decision Support System for an Intelligent Operator of Utility Tunnel Boring Machines G. R. Garcia Gabriel Michau H. Einstein Olga Fink AI4CE 15 30 0 07 Jan 2021
(Decision and regression) tree ensemble based kernels for regression and classification Dai Feng R. Baumgartner 15 2 0 19 Dec 2020
Gradient-Based Empirical Risk Minimization using Local Polynomial Regression Ali Jadbabaie A. Makur Devavrat Shah 22 6 0 04 Nov 2020
Reweighting samples under covariate shift using a Wasserstein distance criterion J. Reygner A. Touboul 25 2 0 19 Oct 2020
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate Keval Doshi Y. Yilmaz 16 92 0 10 Oct 2020
Measuring Association on Topological Spaces Using Kernels and Geometric Graphs Nabarun Deb Promit Ghosal B. Sen 77 49 0 05 Oct 2020
An alternative proof of the vulnerability of retrieval in high intrinsic dimensionality neighborhood Teddy Furon AAML 16 0 0 02 Oct 2020
Universal consistency of Wasserstein $k$ -NN classifier: Negative and Positive Results Donlapark Ponnoprat 16 0 0 10 Sep 2020
Predictability of Power Grid Frequency Johannes Kruse B. Schäfer D. Witthaut 13 24 0 17 Apr 2020
Continual Learning for Anomaly Detection in Surveillance Videos Keval Doshi Y. Yilmaz 17 108 0 15 Apr 2020
GRASPEL: Graph Spectral Learning at Scale Yongyu Wang Zhiqiang Zhao Zhuo Feng 17 4 0 23 Nov 2019
Neighborhood and Graph Constructions using Non-Negative Kernel Regression Sarath Shekkizhar Antonio Ortega 19 1 0 21 Oct 2019
Model Selection With Graphical Neighbour Information R. O’Shea 13 0 0 27 Aug 2019
Universal Bayes consistency in metric spaces Steve Hanneke A. Kontorovich Sivan Sabato Roi Weiss 13 52 0 24 Jun 2019
An adaptive nearest neighbor rule for classification Akshay Balsubramani S. Dasgupta Y. Freund Shay Moran 13 31 0 29 May 2019
Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates George H. Chen 13 15 0 13 May 2019
Measuring the Similarity between Materials with an Emphasis on the Materials Distinctiveness Tran-Thai Dang T. Pham H. Kino T. Miyake H. Dam 14 0 0 23 Mar 2019
Non-Parametric Inference Adaptive to Intrinsic Dimension Khashayar Khosravi Greg Lewis Vasilis Syrgkanis 16 7 0 11 Jan 2019
Cost Sensitive Learning in the Presence of Symmetric Label Noise Sandhya Tripathi N. Hemachandra NoLa 13 5 0 08 Jan 2019
Efficient learning of smooth probability functions from Bernoulli tests with guarantees Paul Rolland Ali Kavis Alex Immer Adish Singla V. Cevher 13 2 0 11 Dec 2018
MEMOIR: Multi-class Extreme Classification with Inexact Margin Anton Belyy A. Sholokhov 13 1 0 24 Nov 2018
Efficient learning of neighbor representations for boundary trees and forests Tharindu B. Adikari S. Draper 9 2 0 26 Oct 2018
Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model Yihua Li Devavrat Shah Dogyoon Song C. Yu 13 22 0 13 May 2017
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy Christian Wachinger M. Reuter T. Klein 3DV 31 330 0 27 Feb 2017