Results 41 to 50 of about 1,920 (200)
Minimax Group Fairness in Strategic Classification
In strategic classification, agents manipulate their features, at a cost, to receive a positive classification outcome from the learner's classifier. The goal of the learner in such settings is to learn a classifier that is robust to strategic manipulations.
Emily Diana +2 more
openaire +2 more sources
A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri +3 more
wiley +1 more source
Testing Distributional Granger Causality With Entropic Optimal Transport
ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley +1 more source
Model-assisted variable clustering: minimax-optimal recovery and algorithms
International audienceThe problem of variable clustering is that of estimating groups of similar components of a p-dimensional vector X = (X1,. .. , Xp) from n independent copies of X.
Bunea, Florentina +4 more
core +1 more source
ABSTRACT The Flexible and Interactive Tradeoff Elicitation (FITradeoff) method is a Multi‐Attribute Decision‐Making (MADM) approach designed to capture the preferences of a Decision Maker (DM) while minimising cognitive effort. To reduce the frequency of interactions and optimise the preference elicitation process, this paper introduces an innovative ...
Qian Zhao +3 more
wiley +1 more source
Geometric Planted Matchings Beyond the Gaussian Model
ABSTRACT We consider the problem of recovering an unknown matching between a set of n$$ n $$ randomly placed points in ℝd$$ {\mathbb{R}}^d $$ and random perturbations of these points. This can be seen as a model for particle tracking and more generally, entity resolution.
Lucas R. Schwengber, Roberto I. Oliveira
wiley +1 more source
Minimax Fairness in Machine Learning
The notion of fairness in machine learning has gained significant popularity in the last decades, in part due to the large number of decision-making models that are being deployed on real-world applications, which have presented unwanted behavior.
Martinez Gil, Natalia Lucienne
core
ABSTRACT Automated detection and classification of marine mammal vocalizations is critical for conservation and management efforts but is hindered by limited annotated datasets and the acoustic complexity of real‐world marine environments. Data augmentation has proven to be an effective strategy to address this limitation by increasing dataset ...
Bruno Padovese +3 more
wiley +1 more source
Doppler-controlled microsurgical subinguinal varicocelectomy: a single centre experience
Introduction. Injury to the testicular artery during microsurgical subinguinal varicocelectomy (MSV) results in testicular atrophy in 20 – 40% of cases. The use of techniques that improve visualization of the testicular artery could increase the efficacy
A. I. Ryzhkov +2 more
doaj +1 more source
Abstract Follicular lymphoma (FL) is the most common indolent lymphoma. Although chemoimmunotherapy is effective, toxicity remains problematic, and novel treatments are required. We performed a Phase Ib/II study of obinutuzumab, lenalidomide, and venetoclax in patients with treatment‐naïve, high tumor burden, advanced‐stage FL. During induction (6 × 28‐
Chan Y. Cheah +11 more
wiley +1 more source

