Kavis, Ali

16 publications

NeurIPS 2025 Understanding Contrastive Learning via Gaussian Mixture Models Parikshit Bansal, Ali Kavis, Sujay Sanghavi

ICML 2025 Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting Sunny Sanyal, Hayden Prairie, Rudrajit Das, Ali Kavis, Sujay Sanghavi

NeurIPS 2024 Adaptive and Optimal Second-Order Optimistic Methods for Minimax Optimization Ruichen Jiang, Ali Kavis, Qiujiang Jin, Sujay Sanghavi, Aryan Mokhtari

ICLR 2024 Advancing the Lower Bounds: An Accelerated, Stochastic, Second-Order Method with Optimal Adaptation to Inexactness Artem Agafonov, Dmitry Kamzolov, Alexander Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takáč

ICML 2024 Universal Gradient Methods for Stochastic Convex Optimization Anton Rodomanov, Ali Kavis, Yongtao Wu, Kimon Antonakopoulos, Volkan Cevher

NeurIPS 2023 Alternation Makes the Adversary Weaker in Two-Player Games Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano

NeurIPS 2022 Adaptive Stochastic Variance Reduction for Non-Convex Finite-Sum Minimization Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos, Leello Tadesse Dadi, Volkan Cevher

NeurIPS 2022 Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods Kimon Antonakopoulos, Ali Kavis, Volkan Cevher

ICLR 2022 High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize Ali Kavis, Kfir Yehuda Levy, Volkan Cevher

NeurIPS 2021 STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization Kfir Levy, Ali Kavis, Volkan Cevher

NeurIPS 2021 Sifting Through the Noise: Universal First-Order Methods for Stochastic Variational Inequalities Kimon Antonakopoulos, Thomas Pethick, Ali Kavis, Panayotis Mertikopoulos, Volkan Cevher

ICML 2020 Double-Loop Unadjusted Langevin Algorithm Paul Rolland, Armin Eftekhari, Ali Kavis, Volkan Cevher

NeurIPS 2020 On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems Panayotis Mertikopoulos, Nadav Hallak, Ali Kavis, Volkan Cevher

ICML 2019 Efficient Learning of Smooth Probability Functions from Bernoulli Tests with Guarantees Paul Rolland, Ali Kavis, Alexander Immer, Adish Singla, Volkan Cevher

NeurIPS 2019 UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization Ali Kavis, Kfir Y. Levy, Francis Bach, Volkan Cevher

NeurIPS 2018 Mirrored Langevin Dynamics Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher