Benjamin Goldstein

5 papers · 2018–2025 · 4 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 (16)

Venues

ICML (2) AAAI (1) MLHC (1) NeurIPS (1)

Top co-authors

Ricardo Henao (3) Chenyang Tao (2) Courtney Page (1) Matthew M. Engelhard (1) Chunyuan Li (1) Paidamoyo Chapfuwa (1) Minghui Sun (1) Lawrence Carin (1) Bryan Cruz Ulloa (1) Meng Xia (1)

Research topics

Deep Learning (4) Machine Learning (4) Learning Types · Deep Learning (4) Artificial Intelligence (3) Learning Types · Machine Learning (3) Healthcare & Medicine (2) Clinical (2) Core AI (2) Core Methods (2) Application Areas (1) Learning Paradigms (1)

Keywords

contrastive learning (3) representation learning (1) adversarial learning (1) data augmentation (1) class imbalance (1) clinical outcome prediction (1) nash equilibrium (1) nonparametric estimation (1) utility estimation (1) survival analysis (1) classifier (1) counterfactual regret minimization (1) imbalanced learning (1) electronic health record (1) monte carlo method (1) deep network (1) time window (1) game strategy (1) time-to-event modeling (1) censored event (1)

Papers

Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning MLHC 2025 Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources ICML 2024 Extracting Learned Discard and Knocking Strategies from a Gin Rummy Bot AAAI 2021 Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer NeurIPS 2021 Adversarial Time-to-Event Modeling ICML 2018