Nicolas Gast

4 papers · 2019–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) ALT (1) IJCAI (1)

Top co-authors

Patrick Loiseau (3) Panayotis Mertikopoulos (1) Benjamin Roussillon (1) Krishna Gummadi (1) George Arvanitakis (1) Vitalii Emelianov (1) Vianney Perchet (1) Mathieu Molina (1) Sebastian Allmeier (1)

Research topics

Machine Learning (4) Mathematics & Optimization (3) Optimization & Theory (3) Application Areas (2) Optimization (2) Artificial Intelligence (1) Core AI (1) Core Methods (1) Learning Types (1) Probability (1)

Keywords

algorithmic fairness (1) online learning (1) asymptotic analysis (1) linear programming (1) bias correction (1) markov chain (1) stochastic approximation (1) linear regression (1) polyak-ruppert averaging (1) online allocation (1) multi-armed bandit (1) regret bound (1) data quality (1) lyapunov equation (1) local fairness (1) global fairness (1) constant step size (1) strategic data source (1) precision optimization (1) multistage selection (1)

Papers

Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise NeurIPS 2024 Trading-off price for data quality to achieve fair online allocation NeurIPS 2023 Asymptotic Degradation of Linear Regression Estimates with Strategic Data Sources ALT 2022 The Price of Local Fairness in Multistage Selection IJCAI 2019