← Authors

Mark D. Reid

12 papers · 2010–2016 · 3 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (9) πŸ—ΊοΈ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (3) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion (2) πŸ’Ž Century Club (12) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (60)

Conferences

JMLR (5) NIPS (5) COLT (2)

Top co-authors

Robert C. Williamson (9) Tim van Erven (2) Rafael M. Frongillo (2) Elodie Vernet (2) Rafael Frongillo (1) Finnian Lattimore (1) Peter GrΓΌnwald (1) Nicolas Della Penna (1) Tor Lattimore (1) Nishant Mehta (1)

Research topics

Statistics (1)

Keywords

proper loss (5) online learning (4) multiclass loss (3) classification calibration (3) binary classification (2) stochastic mixability (2) bayes risk (2) convergence rate (2) log loss (2) prediction market (2) regret bound (2) loss function (2) optimization algorithm (2) multiclass classification (2) mirror descent (1) cost-sensitive classification (1) statistical learning theory (1) stochastic process (1) causal inference (1) risk minimization (1)

Papers

Causal Bandits: Learning Good Interventions via Causal Inference NIPS 2016
Composite Multiclass Losses JMLR 2016
Generalized Mixability via Entropic Duality COLT 2015
Convergence Analysis of Prediction Markets via Randomized Subspace Descent NIPS 2015
Fast Rates in Statistical and Online Learning JMLR 2015
Mixability in Statistical Learning NIPS 2012
Mixability is Bayes Risk Curvature Relative to Log Loss JMLR 2012
Interpreting prediction markets: a stochastic approach NIPS 2012
Information, Divergence and Risk for Binary Experiments JMLR 2011
Composite Multiclass Losses NIPS 2011
Mixability is Bayes Risk Curvature Relative to Log Loss COLT 2011
Composite Binary Losses JMLR 2010