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Bandit Convex Optimization: \(T\) Regret in One Dimension., , , and . COLT, volume 40 of JMLR Workshop and Conference Proceedings, page 266-278. JMLR.org, (2015)A Birthday Paradox for Markov Chains, with an Optimal Bound for Collision in the Pollard Rho Algorithm for Discrete Logarithm., , , and . ANTS, volume 5011 of Lecture Notes in Computer Science, page 402-415. Springer, (2008)Local Dynamics in Bargaining Networks via Random-Turn Games., , and . WINE, volume 6484 of Lecture Notes in Computer Science, page 133-144. Springer, (2010)Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without., , , and . CoRR, (2019)Surprise Probabilities in Markov Chains., , and . Comb. Probab. Comput., 26 (4): 603-627 (2017)Random walks on graphs: new bounds on hitting, meeting, coalescing and returning., and . ANALCO, page 119-126. SIAM, (2019)Estimating graph parameters via random walks with restarts., , and . SODA, page 1702-1714. SIAM, (2018)Exponentially slow mixing in the mean-field Swendsen-Wang dynamics., , and . SODA, page 1981-1988. SIAM, (2018)Noise Tolerance of Expanders and Sublinear Expander Reconstruction., , and . FOCS, page 719-728. IEEE Computer Society, (2008)On the Maximum Satisfiability of Random Formulas., , and . FOCS, page 362-370. IEEE Computer Society, (2003)