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Atilla Eryilmaz

Non-Federated Multi-Task Split Learning for Heterogeneous Sources

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May 31, 2024
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Recurrent Natural Policy Gradient for POMDPs

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May 28, 2024
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Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis

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Feb 19, 2024
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Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards

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Jun 20, 2023
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A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback

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Jun 09, 2021
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Continuous-Time Multi-Armed Bandits with Controlled Restarts

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Jun 30, 2020
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Group-Fair Online Allocation in Continuous Time

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Jun 11, 2020
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Budget-Constrained Bandits over General Cost and Reward Distributions

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Feb 29, 2020
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Optimal Learning for Dynamic Coding in Deadline-Constrained Multi-Channel Networks

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Nov 27, 2018
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Reward Maximization Under Uncertainty: Leveraging Side-Observations on Networks

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Jul 12, 2017
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