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  • Efficient Learning and Computation of Linear Correlated Equilibrium in General Convex Games 

    Daskalakis, Constantinos; Farina, Gabriele; Fishelson, Maxwell; Pipis, Charilaos; Schneider, Jon (ACM|Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025-06-15)
    We propose efficient no-regret learning dynamics and ellipsoid-based methods for computing linear correlated equilibria—a relaxation of correlated equilibria and a strengthening of coarse correlated equilibria—in general ...
  • When Connectivity Is Hard, Random Walks Are Easy with Non-determinism 

    Doron, Dean; Pyne, Edward; Tell, Roei; Williams, R. Ryan (ACM|Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025-06-15)
    Two fundamental problems on directed graphs are to decide s-t connectivity, and to estimate the behavior of random walks. Currently, there is no known algorithm for s-t connectivity running in polynomial time and no(1) ...
  • QMA vs QCMA and Pseudorandomness 

    Liu, Jiahui; Mutreja, Saachi; Yuen, Henry (ACM|Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025-06-15)
    We study a longstanding question of Aaronson and Kuperberg on whether there exists a classical oracle separating QMA from QCMA. Settling this question in either direction would yield insight into the power of quantum proofs ...

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