Publications related to Robust regression

Robust discrete choice models with t-distributed kernel errors

Michel Bierlaire, Thomas Gasos, Prateek Bansal

Models that are robust to aberrant choice behaviour have received limited attention in discrete choice analysis. In this paper, we analyse two robust alternatives to the multinomial probit (MNP) model. Both alternative models belong to the family of robit ...

EPFL2020

RobustBench: a standardized adversarial robustness benchmark

Nicolas Henri Bernard Flammarion, Maksym Andriushchenko, Francesco Croce

Evaluation of adversarial robustness is often error-prone leading to overestimation of the true robustness of models. While adaptive attacks designed for a particular defense are a way out of this, there are only approximate guidelines on how to perform th ...

2020

Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning

Nikolaos Stergiopoulos, Georgios Rovas, Vasiliki Bikia, Stamatia Zoi Pagoulatou

Cardiac and aortic characteristics are crucial for cardiovascular disease detection. However, noninvasive estimation of aortic hemodynamics and cardiac contractility is still challenging. This paper investigated the potential of estimating aortic systolic ...

2020

Image Matching Across Wide Baselines: From Paper to Practice

Pascal Fua, Kwang Moo Yi, Eduard Trulls Fortuny, Jiri Matas, Anastasiia Mishchuk

We introduce a comprehensive benchmark for local features and robust estimation algorithms, focusing on the downstream task-the accuracy of the reconstructed camera pose-as our primary metric. Our pipeline's modular structure allows easy integration, confi ...

2020

A memory of motion for visual predictive control tasks

Sylvain Calinon, Antonio Paolillo, Teguh Santoso Lembono

This paper addresses the problem of efficiently achieving visual predictive control tasks. To this end, a memory of motion, containing a set of trajectories built off-line, is used for leveraging precomputation and dealing with difficult visual tasks. Stan ...

2020

Mixed Strategies for Robust Optimization of Unknown Objectives

Maryam Kamgarpour, Andreas Krause, Ilija Bogunovic

We consider robust optimization problems, where the goal is to optimize an unknown objective function against the worst-case realization of an uncertain parameter. For this setting, we design a novel sample-efficient algorithm GP-MRO, which sequentially le ...

PMLR2020

Scaling up Kernel Ridge Regression via Locality Sensitive Hashing

Mikhail Kapralov, Amir Zandieh, Navid Nouri

Random binning features, introduced in the seminal paper of Rahimi and Recht '07, are an efficient method for approximating a kernel matrix using locality sensitive hashing. Random binning features provide a very simple and efficient way to approximate the ...

ADDISON-WESLEY PUBL CO2020

Transport and Water Age Dynamics in Soils: A Comparative Study of Spatially Integrated and Spatially Explicit Models

Andrea Rinaldo, Paolo Benettin, Mitra Asadollahi

We address transport by transit times (i.e., the age of water parcels leaving a storage as discharge, deep loss, or evapotranspiration) in subvertical soil systems, key to our understanding of water quality in catchments and streams. While the use of field ...

2020

High-Throughput Nanocapillary Filling Enabled by Microwave Radiation for Scanning Ion Conductance Microscopy Imaging

Aleksandra Radenovic, Georg Fantner, Vytautas Navikas, Sanjin Marion, Sebastian James Davis, Samuel Mendes Leitão

Solid state nanopores provide a highly sensitive tool for single-molecule sensing and probing nanofluidic effects in solutions. Glass nanopipettes are a cheap and robust type of solid-state nanopore produced from pulling glass capillaries with opening orif ...

2020

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Robust regression

Robust discrete choice models with t-distributed kernel errors

RobustBench: a standardized adversarial robustness benchmark

Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning

Image Matching Across Wide Baselines: From Paper to Practice

A memory of motion for visual predictive control tasks

Mixed Strategies for Robust Optimization of Unknown Objectives

The perceptual relevance of balance, evenness, and entropy in musical rhythms

Scaling up Kernel Ridge Regression via Locality Sensitive Hashing

Transport and Water Age Dynamics in Soils: A Comparative Study of Spatially Integrated and Spatially Explicit Models

High-Throughput Nanocapillary Filling Enabled by Microwave Radiation for Scanning Ion Conductance Microscopy Imaging

Graph Chatbot

Chat with Graph Search

High-Throughput Nanocapillary Filling Enabled by Microwave Radiation for Scanning Ion Conductance Microscopy Imaging

Transport and Water Age Dynamics in Soils: A Comparative Study of Spatially Integrated and Spatially Explicit Models

Image Matching Across Wide Baselines: From Paper to Practice

Robust discrete choice models with t-distributed kernel errors

Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning

RobustBench: a standardized adversarial robustness benchmark

A memory of motion for visual predictive control tasks

Mixed Strategies for Robust Optimization of Unknown Objectives

Scaling up Kernel Ridge Regression via Locality Sensitive Hashing

The perceptual relevance of balance, evenness, and entropy in musical rhythms