Martin Takác 0001 - researchr alias

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Viewing Publication 1 - 19 from 19

2024

Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to InexactnessArtem Agafonov, Dmitry Kamzolov, Alexander V. Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takác 0001. iclr 2024: [doi]

Inexact tensor methods and their application to stochastic convex optimizationArtem Agafonov, Dmitry Kamzolov, Pavel E. Dvurechensky, Alexander V. Gasnikov, Martin Takác 0001. oms, 39(1):42-83, 2024. [doi]

PaDPaF: Partial Disentanglement with Partially-Federated GANsAbdulla Jasem Almansoori, Samuel Horváth, Martin Takác 0001. tmlr, 2024, 2024. [doi]

Random-reshuffled SARAH does not need full gradient computationsAleksandr Beznosikov, Martin Takác 0001. ol, 18(3):727-749, April 2024. [doi]

Efficient Conformal Prediction under Data HeterogeneityVincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horváth, Martin Takác 0001, Eric Moulines, Maxim Panov. aistats 2024: 4879-4887 [doi]

Stochastic Gradient Methods with Preconditioned UpdatesAbdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takác 0001. jota, 201(2):471-489, May 2024. [doi]

Robustly Train Normalizing Flows via KL Divergence RegularizationKun Song, Ruben Solozabal, Hao Li, Martin Takác 0001, Lu Ren, Fakhri Karray. AAAI 2024: 15047-15055 [doi]

2023

SP2 : A Second Order Stochastic Polyak MethodShuang Li 0003, William J. Swartworth, Martin Takác 0001, Deanna Needell, Robert M. Gower. iclr 2023: [doi]

Regularization of the Policy Updates for Stabilizing Mean Field GamesTalal Algumaei, Ruben Solozabal, Réda Alami, Hakim Hacid, Mérouane Debbah, Martin Takác 0001. pakdd 2023: 361-372 [doi]

Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational InequalitiesAleksandr Beznosikov, Martin Takác 0001, Alexander V. Gasnikov. nips 2023: [doi]

FRESCO: Federated Reinforcement Energy System for Cooperative OptimizationNicolas M. Cuadrado, Roberto Alejandro Gutiérrez Guillén, Martin Takác 0001. iclr 2023: [doi]

Algorithm for Constrained Markov Decision Process with Linear ConvergenceEgor Gladin, Maksim Lavrik-Karmazin, Karina Zainullina, Varvara Rudenko, Alexander V. Gasnikov, Martin Takác 0001. aistats 2023: 11506-11533 [doi]

Reinforcement Learning for Solving Stochastic Vehicle Routing ProblemZangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác 0001. acml 2023: 502-517 [doi]

On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop SchedulingZangir Iklassov, Dmitrii Medvedev, Ruben Solozabal Ochoa de Retana, Martin Takác 0001. IJCAI 2023: 5350-5358 [doi]

Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated DemandsZangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác 0001. access, 11:87958-87969, 2023. [doi]

AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient MethodsZheng Shi, Abdurakhmon Sadiev, Nicolas Loizou, Peter Richtárik, Martin Takác 0001. tmlr, 2023, 2023. [doi]

Byzantine-Tolerant Methods for Distributed Variational InequalitiesNazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takác 0001, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov. nips 2023: [doi]

2022

A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence RateSlavomír Hanzely, Dmitry Kamzolov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Peter Richtárik, Martin Takác 0001. nips 2022: [doi]

2019

Convolutional Neural Network Approach for Robust Structural Damage Detection and LocalizationNur Sila Gulgec, Martin Takác 0001, Shamim N. Pakzad. jccee, 33(3), 2019. [doi]

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