Hugo Yèche

4 papers · 2021–2024 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

ICML (3) ICLR (1)

Top co-authors

Gunnar Rätsch (4) Alizée Pace (2) Kouroche Bouchiat (1) Bernhard Schölkopf (1) Rita Kuznetsova (1) Vincent Fortuin (1) Matthias Hüser (1) Gideon Dresdner (1) Francesco Locatello (1) Alexander Immer (1)

Research topics

Machine Learning (4) Learning Types (3) Artificial Intelligence (1) Healthcare & Medicine (1) Reinforcement Learning (1) Application Areas (1) Clinical (1) Core AI (1) Core Methods (1) Methods (1) Optimization & Theory (1)

Keywords

causal inference (1) contrastive learning (1) offline reinforcement learning (1) binary classification (1) feature selection (1) uncertainty quantification (1) label smoothing (1) marginal likelihood (1) survival analysis (1) empirical baye (1) medical time series (1) hidden confounding (1) temporal dependency (1) monotonicity constraint (1) time series data (1) early event prediction (1) false alarm rate (1) credible interval (1) bayesian principle (1) patient monitoring (1)

Papers

Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding ICLR 2024 Improving Neural Additive Models with Bayesian Principles ICML 2024 Temporal Label Smoothing for Early Event Prediction ICML 2023 Neighborhood Contrastive Learning Applied to Online Patient Monitoring ICML 2021