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publications
Mirrored Langevin Dynamics
Y. Hsieh, A. Kavis, P. Rolland, V. Cevher.
Published in NeurIPS 2018, (2018)
Efficient learning of smooth probability functions from Bernoulli tests with guarantees
P. T. Y. Rolland, A. Kavis, A. Immer, A. Singla, V. Cevher.
Published in ICML 2019, (2019)
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
A. Kavis*, K. Y. Levy*, F. Bach, V. Cevher.
Published in NeurIPS 2019, (2019)
Double-Loop Unadjusted Langevin Algorithm
P. T. Y. Rolland, A. Eftekhari, A. Kavis, V. Cevher.
Published in ICML 2020, (2020)
On the almost sure convergence of stochastic gradient descent in non-convex problems
P. Mertikopoulos, N. Hallak, A. Kavis, V. Cevher.
Published in NeurIPS 2020, (2020)
Sifting through the noise: Universal first-order methods for stochastic variational inequalities
K. Antonakopoulos, T. Pethick, A. Kavis, P. Mertikopoulos, V. Cevher.
Published in NeurIPS 2021, (2021)
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization
K. Y. Levy, A. Kavis, V. Cevher.
Published in NeurIPS 2021, (2021)
High Probability Bounds for a Class of Non-convex Algorithms with AdaGrad Stepsize
A. Kavis, K. Y. Levy, V. Cevher.
Published in ICLR 2022, (2022)
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
K. Antonakopoulos*, A. Kavis*, V. Cevher.
Published in NeurIPS 2022, (2022)
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
A. Kavis*, S. Skoulakis*, K. Antonakopoulos, L. T. Dadi, V. Cevher.
Published in NeurIPS 2022, (2022)
Alternation makes the adversary weaker in two-player games
V. Cevher, A. Cutkosky, A. Kavis, G. Piliouras, S. Skoulakis, L. Viano
Published in NeurIPS 2023, (2023)
Universal Gradient Methods for Stochastic Convex Optimization
A. Rodomanov, A. Kavis, Y. Wu, K. Antonakopoulos, V. Cevher
Published in ICML 2024, (2024)
Advancing the lower bounds: An accelerated, stochastic, second-order method with optimal adaptation to inexactness
A. Agafonov, D. Kamzolov, A. Gasnikov, A. Kavis, K. Antonakopoulos, V. Cevher, M. Takáč
Published in ICLR 2024, (2024)
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
R. Jiang, A. Kavis, Q. Jin, S. Sanghavi, A. Mokhtari
Published in arXiv, (2024)