Jessica Sorrell

7 papers · 2020–2026 · 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 (19) 📈 Trend Setter

Venues

COLT (3) ICML (2) NeurIPS (2)

Top co-authors

Marcel Hussing (4) Michael Kearns (4) Aaron Roth (4) Sikata Bela Sengupta (3) Eric Eaton (3) Mark Bun (1) Russell Impagliazzo (1) Marco Leandro Carmosino (1) Rex Lei (1) Michael J. Kearns (1)

Research topics

Machine Learning (6) Optimization & Theory (6) Core Methods (5) Reinforcement Learning (3) Learning Types (3) Methods (3) Artificial Intelligence (2) Application Areas (2) Applications (1) Core AI (1) Learning Paradigms (1)

Keywords

pac learning (2) boosting algorithm (2) reproducible research (1) replication study (1) episodic learning (1) sample complexity (1) neural architecture search (1) large margin classification (1) label noise (1) value iteration (1) gradient boosting (1) agnostic learning (1) value function approximation (1) noise-tolerant learning (1) weak learner (1) massart noise (1) policy ensemble (1) regression tree (1) swap regret (1) bayes optimality (1)

Papers

Model Agreement via Anchoring COLT 2026 Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces ICML 2025 Oracle-Efficient Reinforcement Learning for Max Value Ensembles NeurIPS 2024 Multicalibration as Boosting for Regression ICML 2023 Replicable Reinforcement Learning NeurIPS 2023 Boosting in the Presence of Massart Noise COLT 2021 Efficient, Noise-Tolerant, and Private Learning via Boosting COLT 2020