Distributionally Robust Weighted $k$ -Nearest Neighbors

7 June 2020

Yao Xie

Papers citing "Distributionally Robust Weighted $k$-Nearest Neighbors"

27 / 27 papers shown

Title
Riemannian Optimization on Relaxed Indicator Matrix Manifold Jinghui Yuan Fangyuan Xie Feiping Nie Xuelong Li 101 0 0 26 Mar 2025
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management Shuyi Chen Ferdinando Fioretto Feng Qiu Shixiang Zhu 137 2 0 25 Feb 2025
Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen Kaize Ding Shixiang Zhu 88 5 0 14 Jun 2023
Distributionally Robust Learning Ruidi Chen I. Paschalidis OOD 78 67 0 20 Aug 2021
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 88 660 0 28 Oct 2019
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Daniel Kuhn Peyman Mohajerin Esfahani Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh OOD 62 394 0 23 Aug 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 90 1,814 0 10 Apr 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 94 1,268 0 07 Apr 2019
Neural Nearest Neighbors Networks Tobias Plötz Stefan Roth 70 339 0 30 Oct 2018
BACH: Grand Challenge on Breast Cancer Histology Images Guilherme Aresta Teresa Araújo S. Kwok Sai Saketh Chennamsetty P. MohammedSafwanK. ... L. Boulmane A. Campilho C. Eloy A. Polónia Paulo Aguiar 405 569 0 13 Aug 2018
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets Rui Gao Liyan Xie Yao Xie Huan Xu OOD 49 70 0 27 May 2018
Wasserstein Distributionally Robust Optimization and Variation Regularization Rui Gao Xi Chen A. Kleywegt OOD 61 131 0 17 Dec 2017
Certifying Some Distributional Robustness with Principled Adversarial Training Aman Sinha Hongseok Namkoong Riccardo Volpi John C. Duchi OOD 125 863 0 29 Oct 2017
Regularization via Mass Transportation Soroosh Shafieezadeh-Abadeh Daniel Kuhn Peyman Mohajerin Esfahani OOD 85 205 0 27 Oct 2017
Doubly Robust Data-Driven Distributionally Robust Optimization Jose H. Blanchet Yang Kang Fan Zhang Fei He Zhangyi Hu OOD 42 13 0 19 May 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 300 8,134 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,909 0 09 Mar 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 156 963 0 01 Mar 2017
Robust Wasserstein Profile Inference and Applications to Machine Learning Jose H. Blanchet Yang Kang Karthyek Murthy OOD 71 331 0 18 Oct 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 370 7,323 0 13 Jun 2016
A Minimax Approach to Supervised Learning Farzan Farnia David Tse 207 107 0 07 Jun 2016
Quantifying Distributional Model Risk via Optimal Transport Jose H. Blanchet Karthyek Murthy 78 425 0 05 Apr 2016
Distributionally Robust Logistic Regression Soroosh Shafieezadeh-Abadeh Peyman Mohajerin Esfahani Daniel Kuhn OOD 78 306 0 30 Sep 2015
Data-driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations Peyman Mohajerin Esfahani Daniel Kuhn 77 1,661 0 19 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Efficient Classification for Metric Data Lee-Ad Gottlieb A. Kontorovich Robert Krauthgamer 83 74 0 11 Jun 2013
Optimal weighted nearest neighbour classifiers R. Samworth 177 276 0 30 Jan 2011

Distributionally Robust Weighted kkk-Nearest Neighbors

Papers citing "Distributionally Robust Weighted $k$-Nearest Neighbors"

Distributionally Robust Weighted $k$ -Nearest Neighbors