← Authors

Rafael Frongillo

22 papers · 2013–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (35) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (12) 🧭 Keyword Pioneer πŸ† Keyword Champion (6) πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (22) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (95)

Conferences

NIPS (8) COLT (7) AAAI (3) ICML (2) AISTATS (1) JMLR (1)

Top co-authors

Bo Waggoner (8) Ian Kash (3) Anish Thilagar (3) Jessica Finocchiaro (2) Tom Morgan (2) Jessica J Finocchiaro (2) Andrew Nobel (2) Emma Goodwill (1) Andre Wibisono (1) Yiling Chen (1)

Keywords

prediction market (6) mechanism design (5) property elicitation (5) empirical risk minimization (4) loss function (4) convex optimization (4) online learning (3) game theory (3) incentive compatibility (3) elicitation complexity (2) forecasting competition (2) memoryless sequence (2) polyhedral loss (2) bregman divergence (2) polyhedral surrogate (2) stochastic process (2) convex loss (2) convex surrogate (2) minimax optimization (1) binary classification (1)

Papers

Forecasting Competitions with Correlated Events AAAI 2025
Hedging and Approximate Truthfulness in Traditional Forecasting Competitions AAAI 2025
Proper Losses for Discrete Generative Models ICML 2023
The Structured Abstain Problem and the LovΓ‘sz Hinge COLT 2022
Consistent Polyhedral Surrogates for Top-k Classification and Variants ICML 2022
Learning in Matrix Games can be Arbitrarily Complex COLT 2021
Embedding Dimension of Polyhedral Losses COLT 2020
Memoryless Sequences for General Losses JMLR 2020
Multi-Observation Regression AISTATS 2019
An Embedding Framework for Consistent Polyhedral Surrogates NIPS 2019
Partial Verification as a Substitute for Money AAAI 2019
Bounded-Loss Private Prediction Markets NIPS 2018
Convex Elicitation of Continuous Properties NIPS 2018
Multi-Observation Elicitation COLT 2017
Memoryless Sequences for Differentiable Losses COLT 2017
Eliciting Categorical Data for Optimal Aggregation NIPS 2016
Open Problem: Property Elicitation and Elicitation Complexity COLT 2016
Convergence Analysis of Prediction Markets via Randomized Subspace Descent NIPS 2015
Vector-Valued Property Elicitation COLT 2015
On Elicitation Complexity NIPS 2015
A Market Framework for Eliciting Private Data NIPS 2015
How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal NIPS 2013