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Spotlight talks
Damien Scieur · Konstantin Mishchenko · Rohan Anil
Symmetric Multisecant quasi-Newton methods. Damien Scieur (Samsung AI Research Montreal); Thomas Pumir (Princeton University); Nicolas Boumal (Princeton University)
Stochastic Newton Method and its Cubic Regularization via Majorization-Minimization. Konstantin Mishchenko (King Abdullah University of Science & Technology (KAUST)); Peter Richtarik (KAUST); Dmitry Koralev (KAUST)
Full Matrix Preconditioning Made Practical. Rohan Anil (Google); Vineet Gupta (Google); Tomer Koren (Google); Kevin Regan (Google); Yoram Singer (Princeton)
Author Information
Damien Scieur (Samsung SAIL Montreal)
Konstantin Mishchenko (KAUST)
Rohan Anil (Google)
More from the Same Authors
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2021 Spotlight: Efficiently Identifying Task Groupings for Multi-Task Learning »
Chris Fifty · Ehsan Amid · Zhe Zhao · Tianhe Yu · Rohan Anil · Chelsea Finn -
2021 : On Server-Side Stepsizes in Federated Optimization: Theory Explaining the Heuristics »
Grigory Malinovsky · Konstantin Mishchenko · Peter Richtarik -
2022 : Fishy: Layerwise Fisher Approximation for Higher-order Neural Network Optimization »
Abel Peirson · Ehsan Amid · Yatong Chen · Vladimir Feinberg · Manfred Warmuth · Rohan Anil -
2022 Poster: The Curse of Unrolling: Rate of Differentiating Through Optimization »
Damien Scieur · Gauthier Gidel · Quentin Bertrand · Fabian Pedregosa -
2021 Poster: Efficiently Identifying Task Groupings for Multi-Task Learning »
Chris Fifty · Ehsan Amid · Zhe Zhao · Tianhe Yu · Rohan Anil · Chelsea Finn -
2020 Poster: Stochastic Optimization with Laggard Data Pipelines »
Naman Agarwal · Rohan Anil · Tomer Koren · Kunal Talwar · Cyril Zhang -
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 -
2019 Poster: Memory Efficient Adaptive Optimization »
Rohan Anil · Vineet Gupta · Tomer Koren · Yoram Singer -
2019 Poster: Robust Bi-Tempered Logistic Loss Based on Bregman Divergences »
Ehsan Amid · Manfred K. Warmuth · Rohan Anil · Tomer Koren -
2018 Poster: SEGA: Variance Reduction via Gradient Sketching »
Filip Hanzely · Konstantin Mishchenko · Peter Richtarik -
2017 Poster: Nonlinear Acceleration of Stochastic Algorithms »
Damien Scieur · Francis Bach · Alexandre d'Aspremont -
2017 Poster: Integration Methods and Optimization Algorithms »
Damien Scieur · Vincent Roulet · Francis Bach · Alexandre d'Aspremont -
2016 Poster: Regularized Nonlinear Acceleration »
Damien Scieur · Alexandre d'Aspremont · Francis Bach -
2016 Oral: Regularized Nonlinear Acceleration »
Damien Scieur · Alexandre d'Aspremont · Francis Bach