Chasing Ghosts: Competing with Stateful Policies von Feige, Uriel, Koren, Tomer, Tennenholtz, Moshe

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Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization von Schliserman, Matan, Koren, Tomer

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A Note on High-Probability Analysis of Algorithms with Exponential, Sub-Gaussian, and General Light Tails von Attia, Amit, Koren, Tomer

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How Free is Parameter-Free Stochastic Optimization? von Attia, Amit, Koren, Tomer

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Tight Risk Bounds for Gradient Descent on Separable Data von Schliserman, Matan, Koren, Tomer

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SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance von Attia, Amit, Koren, Tomer

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Faster Stochastic Optimization with Arbitrary Delays via Asynchronous Mini-Batching von Attia, Amit, Gaash, Ofir, Koren, Tomer

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Lazy OCO: Online Convex Optimization on a Switching Budget von Sherman, Uri, Koren, Tomer

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Bandit Linear Control von Cassel, Asaf, Koren, Tomer

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Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation von Sherman, Uri, Koren, Tomer, Mansour, Yishay

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Fast Rates for Bandit PAC Multiclass Classification von Erez, Liad, Cohen, Alon, Koren, Tomer, Mansour, Yishay, Moran, Shay

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Private Online Learning via Lazy Algorithms von Asi, Hilal, Koren, Tomer, Liu, Daogao, Talwar, Kunal

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Dueling Convex Optimization with General Preferences von Saha, Aadirupa, Koren, Tomer, Mansour, Yishay

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Rate-Optimal Online Convex Optimization in Adaptive Linear Control von Cassel, Asaf, Cohen, Alon, Koren, Tomer

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Faster Convergence with Multiway Preferences von Saha, Aadirupa, Feldman, Vitaly, Koren, Tomer, Mansour, Yishay

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Tight Risk Bounds for Gradient Descent on Separable Data von Schliserman, Matan, Koren, Tomer

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Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics von Cassel, Asaf, Cohen, Alon, Koren, Tomer

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Rate-Optimal Policy Optimization for Linear Markov Decision Processes von Sherman, Uri, Cohen, Alon, Koren, Tomer, Mansour, Yishay

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Uniform Stability for First-Order Empirical Risk Minimization von Attia, Amit, Koren, Tomer

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Stability vs Implicit Bias of Gradient Methods on Separable Data and Beyond von Schliserman, Matan, Koren, Tomer

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