Adversarial Perturbations of Opinion Dynamics in Networks. - Jason Gaitonde; Jon M. Kleinberg; Éva Tardos (EC, 2020)

Stability and Learning in Strategic Queuing Systems. - Jason Gaitonde; Éva Tardos (EC, 2020)

Fractional Pseudorandom Generators from the $k$th Fourier Level. - Eshan Chattopadhyay; Jason Gaitonde; Abhishek Shetty (Electron. Colloquium Comput. Complex., 2020)

Fractional Pseudorandom Generators from Any Fourier Level. - Eshan Chattopadhyay; Jason Gaitonde; Chin Ho Lee; Shachar Lovett; Abhishek Shetty (CCC, 2021)

Polarization in Geometric Opinion Dynamics. - Jason Gaitonde; Jon M. Kleinberg; Éva Tardos (EC, 2021)

Virtues of Patience in Strategic Queuing Systems. - Jason Gaitonde; Éva Tardos (EC, 2021)

Eigenstripping, Spectral Decay, and Edge-Expansion on Posets. - Jason Gaitonde; Max Hopkins; Tali Kaufman; Shachar Lovett; Ruizhe Zhang 001 (APPROX/RANDOM, 2022)

Budget Pacing in Repeated Auctions: Regret and Efficiency Without Convergence. - Jason Gaitonde; Yingkai Li; Bar Light; Brendan Lucier; Aleksandrs Slivkins (ITCS, 2023)

The Price of Anarchy of Strategic Queuing Systems. - Jason Gaitonde; Éva Tardos (J. ACM, 2023)

A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width. - Jason Gaitonde; Elchanan Mossel (STOC, 2024)

Sample-Efficient Linear Regression with Self-Selection Bias. - Jason Gaitonde; Elchanan Mossel (CoRR, 2024)

Efficiently Learning Markov Random Fields from Dynamics. - Jason Gaitonde; Ankur Moitra; Elchanan Mossel (CoRR, 2024)

Comparison Theorems for the Mixing Times of Systematic and Random Scan Dynamics. - Jason Gaitonde; Elchanan Mossel (CoRR, 2024)

Bypassing the Noisy Parity Barrier: Learning Higher-Order Markov Random Fields from Dynamics. - Jason Gaitonde; Ankur Moitra; Elchanan Mossel (STOC, 2025)

Better Models and Algorithms for Learning Ising Models from Dynamics. - Jason Gaitonde; Ankur Moitra; Elchanan Mossel (CoRR, 2025)

On Algorithmic Robustness of Corrupted Markov Chains. - Jason Gaitonde; Elchanan Mossel (CoRR, 2025)