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Ted Sandler

3 papers · 2008–2023 · 3 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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+2 more ↓ 🐣 Hot Topic Early Bird πŸƒ Academic Marathon Β· Full πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🌍 Conference Polyglot Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (16)
🧭 Keyword Pioneer πŸ“ˆ Trend Setter

Venues

AISTATS (1) ICML (1) NeurIPS (1)

Top co-authors

Ben London (2) Lyle H. Ungar (1) Partha P. Talukdar (1) Thorsten Joachims (1) John Blitzer (1) Levi Lu (1)

Research topics

Machine Learning (3) Core Methods (2) Learning Types (2) Optimization & Theory Β· Machine Learning (2) Artificial Intelligence (1) Deep Learning (1) Natural Language Processing (1) Application Areas (1) Applications (1) Learning Paradigms (1) Optimization & Theory Β· Deep Learning (1)

Keywords

bandit feedback (2) off-policy evaluation (1) policy optimization (1) manifold learning (1) bayesian inference (1) sentiment analysis (1) text classification (1) regularized learning (1) pac-bayesian analysis (1) feature graphs (1) off-policy learning (1) graph regularization (1) boosting algorithm (1) propensity score (1) decision tree (1) reward estimation (1) semi-supervised learning (1) counterfactual risk minimization (1)

Papers

Boosted Off-Policy Learning AISTATS 2023 Bayesian Counterfactual Risk Minimization ICML 2019 Regularized Learning with Networks of Features NeurIPS 2008