Poster session
in
Workshop: OPT 2021: Optimization for Machine Learning

Poster Session 1 (gather.town)

Hamed Jalali ⋅ Robert Hönig ⋅ Maximus Mutschler ⋅ Manuel Madeira ⋅ Abdurakhmon Sadiev ⋅ Egor Shulgin ⋅ Alasdair Paren ⋅ Pascal Esser ⋅ Simon Roburin ⋅ Julius Kunze ⋅ Agnieszka Słowik ⋅ Frederik Benzing ⋅ Futong Liu ⋅ Hongyi Li ⋅ Ryotaro Mitsuboshi ⋅ Grigory Malinovsky ⋅ Jayadev Naram ⋅ Zhize Li ⋅ Igor Sokolov ⋅ Sharan Vaswani

2021 Poster session
in
Workshop: OPT 2021: Optimization for Machine Learning

Project Page

Abstract

Please join us in gather.town (see link above). To see the abstracts of the posters presented in this session, please see below the schedule.

Authors/papers presenting posters in gather.town for this session:

Gaussian Graphical Models as an Ensemble Method for Distributed Gaussian Processes, Hamed Jalali
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning, Robert Hönig
Using a one dimensional parabolic model of the full-batch loss to estimate learning rates during training, Maximus Mutschler
COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex Optimization, Manuel Madeira
Decentralized Personalized Federated Learning: Lower Bounds and Optimal Algorithm for All Personalization Modes, Abdurakhmon Sadiev
Shifted Compression Framework: Generalizations and Improvements, Egor Shulgin
Faking Interpolation Until You Make It, Alasdair J Paren
Towards Modeling and Resolving Singular Parameter Spaces using Stratifolds, Pascal M Esser
Spherical Perspective on Learning with Normalization Layers, Simon W Roburin
Adaptive Optimization with Examplewise Gradients, Julius Kunze
On the Relation between Distributionally Robust Optimization and Data Curation, Agnieszka Słowik
Fast, Exact Subsampled Natural Gradients and First-Order KFAC, Frederik Benzing
Understanding Memorization from the Perspective of Optimization via Efficient Influence Estimation, Futong Liu
Community-based Layerwise Distributed Training of Graph Convolutional Networks, Hongyi Li
A New Scheme for Boosting with an Avarage Margin Distribution Oracle, Ryotaro Mitsuboshi
Better Linear Rates for SGD with Data Shuffling, Grigory Malinovsky
Structured Low-Rank Tensor Learning, Jayadev Naram
ANITA: An Optimal Loopless Accelerated Variance-Reduced Gradient Method, Zhize Li
EF21 with Bells & Whistles: Practical Algorithmic Extensions of Modern Error Feedback, Igor Sokolov
On Server-Side Stepsizes in Federated Optimization: Theory Explaining the Heuristics, Grigory Malinovsky

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