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2020 – today
- 2024
[c13]Artem Agafonov, Dmitry Kamzolov, Alexander V. Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takác:
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness. ICLR 2024- [c12]Anton Rodomanov, Ali Kavis, Yongtao Wu, Kimon Antonakopoulos, Volkan Cevher:
Universal Gradient Methods for Stochastic Convex Optimization. ICML 2024 - [i9]Ruichen Jiang, Ali Kavis, Qiujiang Jin, Sujay Sanghavi, Aryan Mokhtari:
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization. CoRR abs/2406.02016 (2024) - 2023
- [c11]Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano:
Alternation makes the adversary weaker in two-player games. NeurIPS 2023 - 2022
- [c10]Ali Kavis
, Kfir Yehuda Levy, Volkan Cevher:
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize. ICLR 2022 - [c9]Kimon Antonakopoulos, Ali Kavis, Volkan Cevher:
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods. NeurIPS 2022 - [c8]Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos, Leello Tadesse Dadi, Volkan Cevher:
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization. NeurIPS 2022 - [i8]Ali Kavis, Kfir Yehuda Levy, Volkan Cevher:
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize. CoRR abs/2204.02833 (2022) - [i7]Kimon Antonakopoulos, Ali Kavis, Volkan Cevher:
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods. CoRR abs/2211.01832 (2022) - [i6]Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos, Leello Tadesse Dadi, Volkan Cevher:
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization. CoRR abs/2211.01851 (2022) - 2021
- [c7]Kimon Antonakopoulos, Thomas Pethick, Ali Kavis, Panayotis Mertikopoulos, Volkan Cevher:
Sifting through the noise: Universal first-order methods for stochastic variational inequalities. NeurIPS 2021: 13099-13111 - [c6]Kfir Y. Levy, Ali Kavis, Volkan Cevher:
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization. NeurIPS 2021: 20571-20582 - [i5]Kfir Y. Levy, Ali Kavis, Volkan Cevher:
STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization. CoRR abs/2111.01040 (2021) - 2020
- [c5]Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher:
Double-Loop Unadjusted Langevin Algorithm. ICML 2020: 8169-8177 - [c4]Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher:
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems. NeurIPS 2020 - [i4]Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher:
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems. CoRR abs/2006.11144 (2020) - [i3]Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher:
Double-Loop Unadjusted Langevin Algorithm. CoRR abs/2007.01147 (2020)
2010 – 2019
- 2019
- [c3]Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher:
Efficient learning of smooth probability functions from Bernoulli tests with guarantees. ICML 2019: 5459-5467 - [c2]Ali Kavis, Kfir Y. Levy, Francis R. Bach, Volkan Cevher:
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization. NeurIPS 2019: 6257-6266 - [i2]Ali Kavis, Kfir Y. Levy, Francis R. Bach, Volkan Cevher:
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization. CoRR abs/1910.13857 (2019) - 2018
- [c1]Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher:
Mirrored Langevin Dynamics. NeurIPS 2018: 2883-2892 - [i1]Paul Rolland, Ali Kavis, Adish Singla, Volkan Cevher:
Efficient learning of smooth probability functions from Bernoulli tests with guarantees. CoRR abs/1812.04428 (2018)
Coauthor Index
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last updated on 2024-09-04 01:22 CEST by the dblp team
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