Rafael Frongillo
23 papers · 2013–2026 · 6 venues · across top CS/AI venues
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Research topics
Keywords
prediction market
(6)
mechanism design
(5)
property elicitation
(5)
empirical risk minimization
(4)
convex optimization
(4)
loss function
(4)
incentive compatibility
(3)
online learning
(3)
game theory
(3)
polyhedral loss
(2)
forecasting competition
(2)
memoryless sequence
(2)
information elicitation
(2)
elicitation complexity
(2)
polyhedral surrogate
(2)
convex loss
(2)
stochastic process
(2)
bregman divergence
(2)
convex surrogate
(2)
minimax optimization
(1)
Papers
Toward Simultaneously Optimal Regret in U-Calibration
COLT 2026
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
Consistent Polyhedral Surrogates for Top-k Classification and Variants
ICML 2022
The Structured Abstain Problem and the LovΓ‘sz Hinge
COLT 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
An Embedding Framework for Consistent Polyhedral Surrogates
NeurIPS 2019
Multi-Observation Regression
AISTATS 2019
Partial Verification as a Substitute for Money
AAAI 2019
Bounded-Loss Private Prediction Markets
NeurIPS 2018
Convex Elicitation of Continuous Properties
NeurIPS 2018
Memoryless Sequences for Differentiable Losses
COLT 2017
Multi-Observation Elicitation
COLT 2017
Eliciting Categorical Data for Optimal Aggregation
NeurIPS 2016
Open Problem: Property Elicitation and Elicitation Complexity
COLT 2016
A Market Framework for Eliciting Private Data
NeurIPS 2015
Convergence Analysis of Prediction Markets via Randomized Subspace Descent
NeurIPS 2015
On Elicitation Complexity
NeurIPS 2015
Vector-Valued Property Elicitation
COLT 2015
How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal
NeurIPS 2013