Cost-Sensitive Learning

Follow this topic Ask about this topic

Momentum

2 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 19

All topics

A Query Is Not a Commitment: Learning to Correct Expert Answers in Online Deferral
Oct 5, 2026Yannis Montreuil, Axel Carlier, Lai Xing Ng +1Cost-Sensitive Learning Learning to Defer
School of Computing, National University of Singapore · IRIT, Toulouse INP, France · Institute for Infocomm Research, A*STAR, Singapore
Cost-Sensitive Online Window Size Selection for Portfolio Management
Sep 24, 2026Yi-Chen Liu, Chung-Han HsiehCost-Sensitive Learning Regret Minimization
Interdisciplinary Program of Management and Technology, National Tsing Hua University · Department of Quantitative Finance, National Tsing Hua University, Taiwan.
Misaligned Clinical Risk Classification and Cost Asymmetry in Open-Weight Large Language Models
Sep 21, 2026Star S. D. Liu, Xiyu Ding, Robert B. Barrett +3Cost-Sensitive Learning LLM Interpretability
Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA · Microsoft, Redmond, WA, USA · National Institutes of Health, Bethesda, MD, USA
Cost-Sensitive Conformal Prediction and Human-in-the-Loop Abstention for Imbalanced High-Stakes Decision Support: A Multi-Domain Benchmark
Jul 29, 2026Manpreet Singh, Akshatha Srikantha, Shyamal LakhanpalClass-Imbalanced Learning Cost-Sensitive Learning
Cost-Aware Recovery-Pathway Identification and Bayesian Optimization for Autonomous Materials Discovery
Jul 26, 2026Debajyoti Ray, Niranjan SrinivasCost-Sensitive Learning Bayesian Optimization
Coactive Science
Asymmetric Peak-Aware Loss for Peak-Critical Time Series Forecasting
Jul 16, 2026Theivaprakasham Hari, Yanan Xin, Winnie Daamen +2Multivariate Time Series Forecasting Long-Term Time Series Forecasting
Department of Transport and Planning, Faculty of Civil Engineering and Geosciences Delft University of Technology, Delft, The Netherlands · Mobility Innovation Centre Delft University of Technology, Delft, The Netherlands
Removable Defects: The Economics and Limits of Deliberate Deficiency
Jul 13, 2026Cheng QianCost-Sensitive Learning Selective Prediction
Decision-Aware Training for Sample-Based Generative Models
Jul 1, 2026Kornelius Raeth, Nicole LudwigCost-Sensitive Learning Probabilistic Forecasting
T ubingen AI Center, University of T ubingen, Germany · University of Augsburg, Germany
Deep Neural Networks with Ordinal Loss for Medical Applications
Jun 24, 2026Tal Dvora, Rotem Haba, Gonen SingerCost-Sensitive Learning Ordinal Regression
Bar-Ilan University Ramat Gan, Israel
SDM-Q: Cost-Aware Staged Decision-Making for Multi-Omics Classification with Deep Q-Learning
May 29, 2026Nan Mu, Yangfan Xiao, Ling Wang +3Cost-Sensitive Learning Deep Q-Learning
College of Computer Science, Sichuan Normal University, Chengdu, Sichuan 610101, China. · Department of Mathematics, College of Science and Mathematics, Kennesaw State University, Kennesaw, GA 30144, USA. · Department of Computer Science, College of Computing and Software Engineering, Kennesaw State University, Marietta, GA 30060, USA.
Scalable Decision-Focused Learning through Cost-Sensitive Regression
May 18, 2026Noah Schutte, Senne Berden, Tias Guns +2Cost-Sensitive Learning Decision-Focused Learning
Delft University of Technology · KU Leuven · Independent Researcher
Instance-Level Costs for Nuanced Classifier Evaluation
May 4, 2026Kabir Kang, Stephen MussmannCost-Sensitive Learning Classification
School of Computer Science, Georgia Institute of Technology, Atlanta, GA, USA.
Optimized Deferral for Imbalanced Settings
Apr 30, 2026Corinna Cortes, Anqi Mao, Mehryar Mohri +1Cost-Sensitive Learning Learning to Defer
Google Research, New York, NY · Courant Institute of Mathematical Sciences, New York, NY
Risk-Aware Robust Learning: Reducing Clinical Risk under Label Noise in Medical Image Classification
Apr 26, 2026Maycon R. S. Pereira, Filipe R. CordeiroCost-Sensitive Learning Medical Image Classification
Visual Computing Lab, Departamento de Computac¸˜ao, Universidade Federal Rural de Pernambuco (UFRPE), Brasil
Learning an Interpretable Risk Scoring System for Maximizing Decision Net Benefit
Apr 5, 2026Wenhao Chi, Ş. İlker BirbilCost-Sensitive Learning Interpretable ML
Yau Mathematical Sciences Center, Tsinghua University · Amsterdam Business School, University of Amsterdam
Learning-to-Defer in Non-Stationary Time Series via Switching State-Space Models
Jan 30, 2026Yannis Montreuil, Letian Yu, Axel Carlier +2Cost-Sensitive Learning Adaptive Model Routing
School of Computing National University of Singapore · Université de Toulouse Fédération ENAC ISAE-SUPAERO ONERA · Institute for Infocomm Research A*STAR, Singapore
Risk-Calibrated Bayesian Streaming Intrusion Detection with SRE-Aligned Decisions
Sep 17, 2025Michel A. YoussefCost-Sensitive Learning Probability Calibration
Independent Researcher · Independent Researcher, Lebanon
Model-agnostic Mitigation Strategies of Data Imbalance for Regression
Jun 2, 2025Jelke Wibbeke, Sebastian Rohjans, Andreas RauhCost-Sensitive Learning
Department of Computing Science Carl von Ossietzky Universität Oldenburg · Energy Division, OFFIS - Institute of Information Technology, Oldenburg, Germany · Department for Civil Engineering, Geoinformation and Health Technology Jade University of Applied Science
iCost: A Novel Instance-Complexity-Based Cost-Sensitive Learning Framework
Sep 19, 2024Asif Newaz, Asif Ur Rahman Adib, Taskeed JabidClass-Imbalanced Learning Cost-Sensitive Learning
Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Gazipur, Bangladesh · Department of Electrical and Electronic Engineering, Ahsanullah University of Science and Technology (AUST), Dhaka, Bangladesh · Department of Computer Science and Engineering, East West University, Dhaka, Bangladesh

Oct 5, 2026, stat.MLJ/K move · Enter open · S save

A Query Is Not a Commitment: Learning to Correct Expert Answers in Online Deferral

Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi

School of Computing, National University of Singapore · IRIT, Toulouse INP, France · Institute for Infocomm Research, A*STAR, Singapore

Cost-Sensitive Learning Learning to Defer

Open paper AskPDF arXiv

An inaccurate expert can still provide useful information after correction. We study online learning to defer in which the learner chooses an expert and fixes a correction function before purchasing its answer, then applies that function to the answer received. The difficulty is that observed losses reflect both expert quality and an unfinished correction: early errors can discourage queries that would be valuable after learning. We propose ORUCB, which pools shared and expert-specific polynomial responses. A bound on cumulative response-learning error calibrates confidence-weighted risk regression and exploration, allowing the router to account for this error when deciding which answers to buy. Under bounded residuals and disagreements, a fixed feasible model of optimal responses, and linear models of free and optimal queried risk, the calibrated algorithm achieves high-probability pseudo-regret

O(\sqrt T\log(T+1))

over

T

rounds for fixed problem parameters. The guarantee permits singular answer distributions and misspecified shared responses; optimality is relative to the bounded response class. On four test streams, the selected cubic policy has lower fee-inclusive cost than seven baselines that deploy answers unchanged. Comparisons with a common correction learner examine routing, while six-price comparisons measure cost and query rates.

Momentum

Related topics

Latest papers 19