Kimon Antonakopoulos
According to our database1,
Kimon Antonakopoulos
authored at least 15 papers
between 2019 and 2023.
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Bibliography
2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements.
CoRR, 2021
Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Sifting through the noise: Universal first-order methods for stochastic variational inequalities.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium.
Proceedings of the Conference on Learning Theory, 2021
2020
Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach.
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019