Rafael M. Frongillo

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 63

Top Venues

CoRR

COLT

NeurIPS

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Rafael M. Frongillo, Maneesha Papireddygari, Bo Waggoner
An Axiomatic Characterization of CFMMs and Equivalence to Prediction Markets. ITCS (2024)
Adithya Bhaskara, Rafael M. Frongillo, Maneesha Papireddygari
A General Theory of Liquidity Provisioning for Automated Market Makers. CoRR (2023)
Rafael M. Frongillo
Quantum Information Elicitation. EC (2023)
Gabriel P. Andrade, Rafael M. Frongillo, Georgios Piliouras
No-Regret Learning in Games is Turing Complete. EC (2023)
Rafael M. Frongillo, Manuel E. Lladser, Anish Thilagar, Bo Waggoner
Forecasting Competitions with Correlated Events. CoRR (2023)
Rafael M. Frongillo, Eric Neyman, Bo Waggoner
Agreement Implies Accuracy for Substitutable Signals. EC (2023)
Dhamma Kimpara, Rafael M. Frongillo, Bo Waggoner
Proper Losses for Discrete Generative Models. ICML (2023)
Rafael M. Frongillo, Maneesha Papireddygari, Bo Waggoner
An Axiomatic Characterization of CFMMs and Equivalence to Prediction Markets. CoRR (2023)
Richard C. Tillquist, Rafael M. Frongillo, Manuel E. Lladser
Getting the Lay of the Land in Discrete Space: A Survey of Metric Dimension and Its Applications. SIAM Rev. 65 (4) (2023)
Rafael M. Frongillo
Quantum Information Elicitation. CoRR (2022)
Justin Cai, Rafael M. Frongillo
Computational complexity of problems for deterministic presentations of sofic shifts. Theor. Comput. Sci. 936 (2022)
Jessie Finocchiaro, Rafael M. Frongillo, Emma Goodwill, Anish Thilagar
Consistent Polyhedral Surrogates for Top-k Classification and Variants. CoRR (2022)
Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates. CoRR (2022)
Rafael M. Frongillo, Dhamma Kimpara, Bo Waggoner
Proper losses for discrete generative models. CoRR (2022)
Jessie Finocchiaro, Rafael M. Frongillo, Enrique Nueve
The Structured Abstain Problem and the Lovász Hinge. CoRR (2022)
Anish Thilagar, Rafael M. Frongillo, Jessica Finocchiaro, Emma Goodwill
Consistent Polyhedral Surrogates for Top-k Classification and Variants. ICML (2022)
Rafael M. Frongillo, Jesse Geneson, Manuel E. Lladser, Richard C. Tillquist, Eunjeong Yi
Truncated metric dimension for finite graphs. Discret. Appl. Math. 320 (2022)
Gabriel P. Andrade, Rafael M. Frongillo, Georgios Piliouras
No-Regret Learning in Games is Turing Complete. CoRR (2022)
Enrique B. Nueve, Rafael M. Frongillo, Jessica Finocchiaro
The Structured Abstain Problem and the Lovász Hinge. COLT (2022)
Rafael M. Frongillo, Robert Gomez, Anish Thilagar, Bo Waggoner
Efficient Competitions and Online Learning with Strategic Forecasters. EC (2021)
Rafael M. Frongillo, Eric Neyman, Bo Waggoner
Agreement Implies Accuracy for Substitutable Signals. CoRR (2021)
Rafael M. Frongillo, Bo Waggoner
Surrogate Regret Bounds for Polyhedral Losses. NeurIPS (2021)
Gabriel P. Andrade, Rafael M. Frongillo, Georgios Piliouras
Learning in Matrix Games can be Arbitrarily Complex. CoRR (2021)
Rafael M. Frongillo, Bo Waggoner
Surrogate Regret Bounds for Polyhedral Losses. CoRR (2021)
Justin Cai, Rafael M. Frongillo
Computational complexity of problems for deterministic presentations of sofic shifts. CoRR (2021)
Gabriel P. Andrade, Rafael M. Frongillo, Sharadha Srinivasan, Elliot Gorokhovsky
Graphical Economies with Resale. EC (2021)
Rafael M. Frongillo, Robert Gomez, Anish Thilagar, Bo Waggoner
Efficient Competitions and Online Learning with Strategic Forecasters. CoRR (2021)
Gabriel P. Andrade, Rafael M. Frongillo, Elliot Gorokhovsky, Sharadha Srinivasan
Graphical Economies with Resale. CoRR (2021)
Rafael M. Frongillo, Ian A. Kash
General truthfulness characterizations via convex analysis. Games Econ. Behav. 130 (2021)
Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner
Unifying Lower Bounds on Prediction Dimension of Consistent Convex Surrogates. CoRR (2021)
Gabriel P. Andrade, Rafael M. Frongillo, Georgios Piliouras
Learning in Matrix Games can be Arbitrarily Complex. COLT (2021)
Tyler Schrock, Rafael M. Frongillo
-block conjugacy. Theor. Comput. Sci. 856 (2021)
Jessica Finocchiaro, Rafael M. Frongillo, Bo Waggoner
Unifying lower bounds on prediction dimension of convex surrogates. NeurIPS (2021)
Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner
Embedding Dimension of Polyhedral Losses. COLT (2020)
Rafael M. Frongillo, Andrew B. Nobel
Memoryless Sequences for General Losses. J. Mach. Learn. Res. 21 (2020)
Tyler Schrock, Rafael M. Frongillo
Computational Complexity of k-Block Conjugacy. CoRR (2019)
Steffen Borgwardt, Rafael M. Frongillo
Power Diagram Detection with Applications to Information Elicitation. J. Optim. Theory Appl. 181 (1) (2019)
Sofia Ceppi, Ian A. Kash, Rafael M. Frongillo
Partial Verification as a Substitute for Money. AAAI (2019)
Richard C. Tillquist, Rafael M. Frongillo, Manuel E. Lladser
Metric Dimension. CoRR (2019)
Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner
An Embedding Framework for Consistent Polyhedral Surrogates. CoRR (2019)
Rafael M. Frongillo, Nishant A. Mehta, Tom Morgan, Bo Waggoner
Multi-Observation Regression. AISTATS (2019)
Richard C. Tillquist, Rafael M. Frongillo, Manuel E. Lladser
Metric Dimension. Scholarpedia 14 (10) (2019)
Jessica Finocchiaro, Rafael M. Frongillo, Bo Waggoner
An Embedding Framework for Consistent Polyhedral Surrogates. NeurIPS (2019)
Sarah Day, Rafael M. Frongillo
Sofic Shifts via Conley Index Theory: Computing Lower Bounds on Recurrent Dynamics for Maps. SIAM J. Appl. Dyn. Syst. 18 (3) (2019)
Rafael M. Frongillo, Nishant A. Mehta, Tom Morgan, Bo Waggoner
Multi-Observation Regression. CoRR (2018)
Sofia Ceppi, Ian A. Kash, Rafael M. Frongillo
Partial Verification as a Substitute for Money. CoRR (2018)
Rafael M. Frongillo, Bo Waggoner
An Axiomatic Study of Scoring Rule Markets. ITCS (2018)
Rafael M. Frongillo, Bo Waggoner
Bounded-Loss Private Prediction Markets. NeurIPS (2018)
Jessica Finocchiaro, Rafael M. Frongillo
Convex Elicitation of Continuous Properties. NeurIPS (2018)
Sebastian Casalaina-Martin, Rafael M. Frongillo, Tom Morgan, Bo Waggoner
Multi-Observation Elicitation. CoRR (2017)
Rafael M. Frongillo, Bo Waggoner
An Axiomatic Study of Scoring Rule Markets. CoRR (2017)
Rafael M. Frongillo, Andrew B. Nobel
Memoryless Sequences for Differentiable Losses. COLT (2017)
Sebastian Casalaina-Martin, Rafael M. Frongillo, Tom Morgan, Bo Waggoner
Multi-Observation Elicitation. COLT (2017)
Bo Waggoner, Rafael M. Frongillo, Jacob D. Abernethy
Addendum to "A Market Framework for Eliciting Private Data". CoRR (2017)
Rafael M. Frongillo, Jens Witkowski
A Geometric Perspective on Minimal Peer Prediction. ACM Trans. Economics and Comput. 5 (3) (2017)
Ian A. Kash, Rafael M. Frongillo
Optimal Auctions with Restricted Allocations. EC (2016)
Victor Shnayder, Arpit Agarwal, Rafael M. Frongillo, David C. Parkes
Informed Truthfulness in Multi-Task Peer Prediction. CoRR (2016)
Victor Shnayder, Rafael M. Frongillo, David C. Parkes
Measuring Performance of Peer Prediction Mechanisms Using Replicator Dynamics. IJCAI (2016)
Victor Shnayder, Arpit Agarwal, Rafael M. Frongillo, David C. Parkes
Informed Truthfulness in Multi-Task Peer Prediction. EC (2016)
Ian A. Kash, Rafael M. Frongillo
Optimal Auctions with Restricted Allocations. CoRR (2016)
Rafael M. Frongillo, Jens Witkowski
A Geometric Method to Construct Minimal Peer Prediction Mechanisms. AAAI (2016)
Chien-Ju Ho, Rafael M. Frongillo, Yiling Chen
Eliciting Categorical Data for Optimal Aggregation. NIPS (2016)
Rafael M. Frongillo, Ian A. Kash, Stephen Becker
Open Problem: Property Elicitation and Elicitation Complexity. COLT (2016)
Rafael M. Frongillo, Ian A. Kash
Vector-Valued Property Elicitation. COLT (2015)
Rafael M. Frongillo, Ian A. Kash
On Elicitation Complexity and Conditional Elicitation. CoRR (2015)
Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson, Nishant A. Mehta
Generalized Mixability via Entropic Duality. COLT (2015)
Rafael M. Frongillo, Ian A. Kash
On Elicitation Complexity. NIPS (2015)
Bo Waggoner, Rafael M. Frongillo, Jacob D. Abernethy
A Market Framework for Eliciting Private Data. NIPS (2015)
Rafael M. Frongillo, Yiling Chen, Ian A. Kash
Elicitation for Aggregation. AAAI (2015)
Rafael M. Frongillo, Mark D. Reid
Convergence Analysis of Prediction Markets via Randomized Subspace Descent. NIPS (2015)
Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson
Generalised Mixability, Constant Regret, and Bayesian Updating. CoRR (2014)
Rafael M. Frongillo, Ian A. Kash
General Truthfulness Characterizations via Convex Analysis. WINE (2014)
Jacob D. Abernethy, Rafael M. Frongillo, Sindhu Kutty
On risk measures, market making, and exponential families. SIGecom Exch. 13 (2) (2014)
Jacob D. Abernethy, Rafael M. Frongillo, Xiaolong Li, Jennifer Wortman Vaughan
A general volume-parameterized market making framework. EC (2014)
Rafael M. Frongillo, Mark D. Reid
Risk Dynamics in Trade Networks. CoRR (2014)
Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson, Nishant A. Mehta
Generalized Mixability via Entropic Duality. CoRR (2014)
Miroslav Dudík, Rafael M. Frongillo, Jennifer Wortman Vaughan
Market Making with Decreasing Utility for Information. UAI (2014)
Rafael M. Frongillo, Yiling Chen, Ian A. Kash
Elicitation for Aggregation. CoRR (2014)
Miroslav Dudík, Rafael M. Frongillo, Jennifer Wortman Vaughan
Market Making with Decreasing Utility for Information. CoRR (2014)
Jacob D. Abernethy, Peter L. Bartlett, Rafael M. Frongillo, Andre Wibisono
How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal. NIPS (2013)
Indraneel Mukherjee, Kevin Robert Canini, Rafael M. Frongillo, Yoram Singer
Parallel Boosting with Momentum. ECML/PKDD (3) (2013)
Jacob D. Abernethy, Rafael M. Frongillo
A Characterization of Scoring Rules for Linear Properties. COLT (2012)
Rafael M. Frongillo, Rodrigo Treviño
Efficient Automation of Index Pairs in Computational Conley Index Theory. SIAM J. Appl. Dyn. Syst. 11 (1) (2012)
Jacob D. Abernethy, Rafael M. Frongillo, Andre Wibisono
Minimax option pricing meets black-scholes in the limit. STOC (2012)
Jacob D. Abernethy, Rafael M. Frongillo, Andre Wibisono
Minimax Option Pricing Meets Black-Scholes in the Limit CoRR (2012)
Rafael M. Frongillo, Ian A. Kash
General Truthfulness Characterizations Via Convex Analysis CoRR (2012)
Nicolás Della Penna, Mark D. Reid, Rafael M. Frongillo
Interpreting prediction markets: a stochastic approach. NIPS (2012)
Rafael M. Frongillo, Grant Schoenebeck, Omer Tamuz
Social Learning in a Changing World CoRR (2011)
Rafael M. Frongillo, Grant Schoenebeck, Omer Tamuz
Social Learning in a Changing World. WINE (2011)
Jacob D. Abernethy, Rafael M. Frongillo
A Collaborative Mechanism for Crowdsourcing Prediction Problems CoRR (2011)
Jacob D. Abernethy, Rafael M. Frongillo
A Collaborative Mechanism for Crowdsourcing Prediction Problems. NIPS (2011)
Constantinos Daskalakis, Rafael M. Frongillo, Christos H. Papadimitriou, George Pierrakos, Gregory Valiant
On Learning Algorithms for Nash Equilibria. SAGT (2010)
Sarah Day, Rafael M. Frongillo, Rodrigo Treviño
Algorithms for Rigorous Entropy Bounds and Symbolic Dynamics. SIAM J. Appl. Dyn. Syst. 7 (4) (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rafael M. Frongillo