Frongillo, Rafael

18 publications

NeurIPS 2025 Consistency Conditions for Differentiable Surrogate Losses Drona Khurana, Anish Thilagar, Dhamma Kimpara, Rafael Frongillo

ICML 2023 Proper Losses for Discrete Generative Models Dhamma Kimpara, Rafael Frongillo, Bo Waggoner

ICML 2022 Consistent Polyhedral Surrogates for Top-K Classification and Variants Anish Thilagar, Rafael Frongillo, Jessica J Finocchiaro, Emma Goodwill

COLT 2022 The Structured Abstain Problem and the Lovász Hinge Jessica J Finocchiaro, Rafael Frongillo, Enrique B Nueve

COLT 2021 Learning in Matrix Games Can Be Arbitrarily Complex Gabriel P. Andrade, Rafael Frongillo, Georgios Piliouras

COLT 2020 Embedding Dimension of Polyhedral Losses Jessie Finocchiaro, Rafael Frongillo, Bo Waggoner

JMLR 2020 Memoryless Sequences for General Losses Rafael Frongillo, Andrew Nobel

NeurIPS 2019 An Embedding Framework for Consistent Polyhedral Surrogates Jessica Finocchiaro, Rafael Frongillo, Bo Waggoner

AISTATS 2019 Multi-Observation Regression Rafael Frongillo, Nishant A. Mehta, Tom Morgan, Bo Waggoner

NeurIPS 2018 Bounded-Loss Private Prediction Markets Rafael Frongillo, Bo Waggoner

NeurIPS 2018 Convex Elicitation of Continuous Properties Jessica Finocchiaro, Rafael Frongillo

COLT 2017 Memoryless Sequences for Differentiable Losses Rafael Frongillo, Andrew Nobel

COLT 2017 Multi-Observation Elicitation Sebastian Casalaina-Martin, Rafael Frongillo, Tom Morgan, Bo Waggoner

NeurIPS 2016 Eliciting Categorical Data for Optimal Aggregation Chien-Ju Ho, Rafael Frongillo, Yiling Chen

NeurIPS 2015 A Market Framework for Eliciting Private Data Bo Waggoner, Rafael Frongillo, Jacob D. Abernethy

NeurIPS 2015 Convergence Analysis of Prediction Markets via Randomized Subspace Descent Rafael Frongillo, Mark D. Reid

NeurIPS 2015 On Elicitation Complexity Rafael Frongillo, Ian Kash

NeurIPS 2013 How to Hedge an Option Against an Adversary: Black-Scholes Pricing Is Minimax Optimal Jacob Abernethy, Peter L Bartlett, Rafael Frongillo, Andre Wibisono