About Me

I’m a 5th year PhD student in the CS Theory Group at CU Boulder, advised by Rafael Frongillo and Bo Waggoner. I am generally interested in theoretical machine learning, game theory, and algorithmic economics, with a focus on learning from strategic agents. I was previously an undergraduate at Caltech, where I majored in Math and Computer Science. In between, I spent 2 years at Google where I helped build and launch Vertex AI for structured data.

Publications

α = authors listed alphabetically

Forecasting Competitions

Efficient Competitions and Online Learning with Strategic Forecasters
α - Rafael Frongillo, Robert Gomez, Anish Thilagar, Bo Waggoner
[EC 2021] [arxiv]

Forecasting Competitions with Correlated Events
α - Rafael Frongillo, Manuel Lladser, Anish Thilagar, Bo Waggoner
[AAAI 2025] [arxiv]

Hedging and Approximate Truthfulness in Traditional Forecasting Competitions
Mary Monroe, Anish Thilagar, Melody Hsu, Rafael Frongillo
[AAAI 2025] [arxiv]

Approximately Truthful Forecasting Competitions
Anish Thilagar
[Thesis]

WOMAC: A Mechanism to Combat Leaderboard Hacking
Siddarth Srinivasan, Tao Lin, Connacher Murphy, Anish Thilagar, Yiling Chen, Ezra Karger
[arxiv]

Equilibria in Large Position-Optimization Games
α - Melody Hsu, Rafael Frongillo, Mary Monroe, Anish Thilagar
Working Paper

Surrogate Losses

Consistent Polyhedral Surrogates for Top-k Classification and Variants
α - Jessie Finocchiaro, Rafael Frongillo, Emma Goodwill, Anish Thilagar
[ICML 2022] [arxiv]

Consistency Conditions for Differentiable Surrogate Losses
Drona Khurana, Anish Thilagar, Dhamma Kimpara, Rafael Frongillo
[arxiv]