Kimon Antonakopoulos
According to our database1,
Kimon Antonakopoulos
authored at least 19 papers
between 2019 and 2024.
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Bibliography
2024
J. Mach. Learn. Res., 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
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