Daniel Jarrett

18 papers · 2019–2023 · 4 venues · across top CS/AI venues

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Achievements

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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (44) 👑 Triple Crown

🏆 Keyword Champion (2) 🧭 Keyword Pioneer 🤝 Dynamic Duo (16) 📈 Trend Setter 💎 Century Club · Bronze 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 🌈 Renaissance Researcher (6) 🗃️ Keyword Collector (95)

Venues

NeurIPS (8) ICML (5) ICLR (4) AISTATS (1)

Top co-authors

Mihaela van der Schaar (16) Alihan Hüyük (7) Ioana Bica (5) Jinsung Yoon (2) Ari Ercole (1) Rémi Munos (1) Bogdan C Cebere (1) Corentin Tallec (1) Cem Tekin (1) Michal Valko (1)

Research topics

Machine Learning (14) Learning Types (10) Artificial Intelligence (8) Core AI (7) Reinforcement Learning (5) Methods · Reinforcement Learning (5) Optimization & Theory (5) Healthcare & Medicine (4) Clinical (4) Core Methods (4) Data Science & Analytics (3) Application Areas (3) Deep Learning (2) Mathematics & Optimization (2) Methods · Data Science & Analytics (2)

Keywords

policy learning (4) imitation learning (4) representation learning (2) time series generation (2) hyperparameter optimization (2) sequence prediction (2) clinical decision support (2) automated machine learning (2) interpretable representation (2) online learning (1) bounded rationality (1) model selection (1) sequential decision making (1) policy evaluation (1) temporal dynamics (1) bayesian inference (1) offline reinforcement learning (1) deep kernel learning (1) distribution matching (1) inverse reinforcement learning (1)

Papers

Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples NeurIPS 2023 AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems NeurIPS 2023 Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments ICML 2023 HyperImpute: Generalized Iterative Imputation with Automatic Model Selection ICML 2022 Inverse Contextual Bandits: Learning How Behavior Evolves over Time ICML 2022 Online Decision Mediation NeurIPS 2022 Clairvoyance: A Pipeline Toolkit for Medical Time Series ICLR 2021 Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation NeurIPS 2021 Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning ICLR 2021 Invariant Causal Imitation Learning for Generalizable Policies NeurIPS 2021 Inverse Decision Modeling: Learning Interpretable Representations of Behavior ICML 2021 Learning "What-if" Explanations for Sequential Decision-Making ICLR 2021 Time-series Generation by Contrastive Imitation NeurIPS 2021 Inverse Active Sensing: Modeling and Understanding Timely Decision-Making ICML 2020 Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning AISTATS 2020 Strictly Batch Imitation Learning by Energy-based Distribution Matching NeurIPS 2020 Target-Embedding Autoencoders for Supervised Representation Learning ICLR 2020 Time-series Generative Adversarial Networks NeurIPS 2019