Ali Kavis

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Probability Functions

Stochastic Gradient Descent

Lagrange Multipliers

Convex Optimization

Top Venues

Publications

Ruichen Jiang, Ali Kavis, Qiujiang Jin, Sujay Sanghavi, Aryan Mokhtari
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization. CoRR (2024)
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)
Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano
Alternation makes the adversary weaker in two-player games. NeurIPS (2023)
Kimon Antonakopoulos, Ali Kavis, Volkan Cevher
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods. NeurIPS (2022)
Ali Kavis, Kfir Yehuda Levy, Volkan Cevher
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize. CoRR (2022)
Kimon Antonakopoulos, Ali Kavis, Volkan Cevher
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods. CoRR (2022)
Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos, Leello Tadesse Dadi, Volkan Cevher
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization. CoRR (2022)
Ali Kavis, Kfir Yehuda Levy, Volkan Cevher
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize. ICLR (2022)
Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos, Leello Tadesse Dadi, Volkan Cevher
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization. NeurIPS (2022)
Kfir Y. Levy, Ali Kavis, Volkan Cevher
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization. NeurIPS (2021)
Kfir Y. Levy, Ali Kavis, Volkan Cevher
STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization. CoRR (2021)
Kimon Antonakopoulos, Thomas Pethick, Ali Kavis, Panayotis Mertikopoulos, Volkan Cevher
Sifting through the noise: Universal first-order methods for stochastic variational inequalities. NeurIPS (2021)
Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems. NeurIPS (2020)
Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher
Double-Loop Unadjusted Langevin Algorithm. CoRR (2020)
Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems. CoRR (2020)
Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher
Double-Loop Unadjusted Langevin Algorithm. ICML (2020)
Ali Kavis, Kfir Y. Levy, Francis R. Bach, Volkan Cevher
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization. CoRR (2019)
Ali Kavis, Kfir Y. Levy, Francis R. Bach, Volkan Cevher
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization. NeurIPS (2019)
Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher
Efficient learning of smooth probability functions from Bernoulli tests with guarantees. ICML (2019)
Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher
Mirrored Langevin Dynamics. NeurIPS (2018)
Paul Rolland, Ali Kavis, Adish Singla, Volkan Cevher
Efficient learning of smooth probability functions from Bernoulli tests with guarantees. CoRR (2018)