Konstantin Mishchenko
King Abdullah University of Science and Technology
H-index: 20
Asia-Saudi Arabia
Top articles of Konstantin Mishchenko
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
Super-universal regularized newton method | SIAM Journal on Optimization | Nikita Doikov Konstantin Mishchenko Yurii Nesterov | 2024/3/31 |
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy | Blake Woodworth Konstantin Mishchenko Francis Bach | 2023/7 | |
Regularized Newton Method with Global Convergence | SIAM Journal on Optimization | Konstantin Mishchenko | 2023/3 |
Learning-Rate-Free Learning by D-Adaptation | Aaron Defazio Konstantin Mishchenko | 2023/7 | |
Convergence of first-order algorithms for meta-learning with Moreau envelopes | arXiv preprint arXiv:2301.06806 | Konstantin Mishchenko Slavomir Hanzely Peter Richtárik | 2023/1/17 |
Server-side stepsizes and sampling without replacement provably help in federated optimization | Grigory Malinovsky Konstantin Mishchenko Peter Richtárik | 2023/12/8 | |
Prodigy: An expeditiously adaptive parameter-free learner | arXiv preprint arXiv:2306.06101 | Konstantin Mishchenko Aaron Defazio | 2023/6/9 |
Federated Learning Under Second-Order Data Heterogeneity | Konstantin Mishchenko Rui Li Hongxiang Fan Stylianos Venieris | 2023/10/13 | |
When, Why and How Much? Adaptive Learning Rate Scheduling by Refinement | arXiv preprint arXiv:2310.07831 | Aaron Defazio Ashok Cutkosky Harsh Mehta Konstantin Mishchenko | 2023/10/11 |
Partially personalized federated learning: Breaking the curse of data heterogeneity | arXiv preprint arXiv:2305.18285 | Konstantin Mishchenko Rustem Islamov Eduard Gorbunov Samuel Horváth | 2023/5/29 |
Adaptive proximal gradient method for convex optimization | arXiv preprint arXiv:2308.02261 | Yura Malitsky Konstantin Mishchenko | 2023/8/4 |
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method | NeurIPS 2023 | Ahmed Khaled Konstantin Mishchenko Chi Jin | 2023/5/25 |
Proximal and Federated Random Reshuffling | Konstantin Mishchenko Ahmed Khaled Peter Richtárik | 2022/6/28 | |
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! | Konstantin Mishchenko Grigory Malinovsky Sebastian Stich Peter Richtárik | 2022/6/28 | |
Asynchronous SGD Beats Minibatch SGD under Arbitrary Delays | Konstantin Mishchenko Francis Bach Mathieu Even Blake Woodworth | 2022/12 | |
IntSGD: Adaptive Floatless Compression of Stochastic Gradients | ICLR 2022 - International Conference on Learning Representations | Konstantin Mishchenko Bokun Wang Dmitry Kovalev Peter Richtárik | 2022 |
Dualize, split, randomize: Toward fast nonsmooth optimization algorithms | Journal of Optimization Theory and Applications | Adil Salim Laurent Condat Konstantin Mishchenko Peter Richtárik | 2022/10 |
Stochastic distributed learning with gradient quantization and double-variance reduction | Optimization Methods and Software | Samuel Horváth Dmitry Kovalev Konstantin Mishchenko Peter Richtárik Sebastian Stich | 2023/1/2 |
Adaptive learning rates for faster stochastic gradient methods | arXiv preprint arXiv:2208.05287 | Samuel Horváth Konstantin Mishchenko Peter Richtárik | 2022/8/10 |
Adaptive gradient descent without descent | Yura Malitsky Konstantin Mishchenko | 2020 |