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Live Q&A with Suvrit Sra (Zoom)
Martin Takac
Author Information
Martin Takac (Lehigh University)
More from the Same Authors
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2021 : Random-reshuffled SARAH does not need a full gradient computations »
Aleksandr Beznosikov · Martin Takac -
2022 : Effects of momentum scaling for SGD »
Dmitry A. Pasechnyuk · Alexander Gasnikov · Martin Takac -
2022 : Using quadratic equations for overparametrized models »
Shuang Li · William Swartworth · Martin Takac · Deanna Needell · Robert Gower -
2022 : FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences »
Artem Agafonov · Brahim Erraji · Martin Takac -
2022 : Cubic Regularized Quasi-Newton Methods »
Dmitry Kamzolov · Klea Ziu · Artem Agafonov · Martin Takac -
2022 : PSPS: Preconditioned Stochastic Polyak Step-size method for badly scaled data »
Farshed Abdukhakimov · Chulu Xiang · Dmitry Kamzolov · Robert Gower · Martin Takac -
2023 Poster: Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities »
Aleksandr Beznosikov · Martin Takac · Alexander Gasnikov -
2023 Poster: Byzantine-Tolerant Methods for Distributed Variational Inequalities »
Nazarii Tupitsa · Eduard Gorbunov · Abdulla Jasem Almansoori · Yanlin Wu · Martin Takac · Karthik Nandakumar · Samuel Horváth -
2022 Workshop: Order up! The Benefits of Higher-Order Optimization in Machine Learning »
Albert Berahas · Jelena Diakonikolas · Jarad Forristal · Brandon Reese · Martin Takac · Yan Xu -
2022 Poster: A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate »
Slavomír Hanzely · Dmitry Kamzolov · Dmitry Pasechnyuk · Alexander Gasnikov · Peter Richtarik · Martin Takac -
2021 Workshop: OPT 2021: Optimization for Machine Learning »
Courtney Paquette · Quanquan Gu · Oliver Hinder · Katya Scheinberg · Sebastian Stich · Martin Takac -
2020 : Closing remarks »
Quanquan Gu · Courtney Paquette · Mark Schmidt · Sebastian Stich · Martin Takac -
2020 : Intro to Invited Speaker 5 »
Martin Takac -
2020 : Contributed talks in Session 2 (Zoom) »
Martin Takac · Samuel Horváth · Guan-Horng Liu · Nicolas Loizou · Sharan Vaswani -
2020 : Live Q&A with Donald Goldfarb (Zoom) »
Martin Takac -
2020 : Live Q&A with Andreas Krause (Zoom) »
Martin Takac -
2020 : Welcome remarks to Session 2 »
Martin Takac -
2020 Workshop: OPT2020: Optimization for Machine Learning »
Courtney Paquette · Mark Schmidt · Sebastian Stich · Quanquan Gu · Martin Takac -
2020 : Welcome event (gather.town) »
Quanquan Gu · Courtney Paquette · Mark Schmidt · Sebastian Stich · Martin Takac -
2019 : Poster Session »
Eduard Gorbunov · Alexandre d'Aspremont · Lingxiao Wang · Liwei Wang · Boris Ginsburg · Alessio Quaglino · Camille Castera · Saurabh Adya · Diego Granziol · Rudrajit Das · Raghu Bollapragada · Fabian Pedregosa · Martin Takac · Majid Jahani · Sai Praneeth Karimireddy · Hilal Asi · Balint Daroczy · Leonard Adolphs · Aditya Rawal · Nicolas Brandt · Minhan Li · Giuseppe Ughi · Orlando Romero · Ivan Skorokhodov · Damien Scieur · Kiwook Bae · Konstantin Mishchenko · Rohan Anil · Vatsal Sharan · Aditya Balu · Chao Chen · Zhewei Yao · Tolga Ergen · Paul Grigas · Chris Junchi Li · Jimmy Ba · Stephen J Roberts · Sharan Vaswani · Armin Eftekhari · Chhavi Sharma -
2018 Poster: Reinforcement Learning for Solving the Vehicle Routing Problem »
MohammadReza Nazari · Afshin Oroojlooy · Lawrence Snyder · Martin Takac -
2016 Poster: A Multi-Batch L-BFGS Method for Machine Learning »
Albert Berahas · Jorge Nocedal · Martin Takac -
2014 Poster: Communication-Efficient Distributed Dual Coordinate Ascent »
Martin Jaggi · Virginia Smith · Martin Takac · Jonathan Terhorst · Sanjay Krishnan · Thomas Hofmann · Michael Jordan