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Opening Remarks to Session 1
Sebastian Stich
Author Information
Sebastian Stich (CISPA)
Dr. [Sebastian U. Stich](https://sstich.ch/) is a faculty at the CISPA Helmholtz Center for Information Security. Research interests: - *methods for machine learning and statistics*—at the interface of theory and practice - *collaborative learning* (distributed, federated and decentralized methods) - *optimization for machine learning* (adaptive stochastic methods and generalization performance)
More from the Same Authors
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2021 : Escaping Local Minima With Stochastic Noise »
Harshvardhan Harshvardhan · Sebastian Stich -
2021 : The Peril of Popular Deep Learning Uncertainty Estimation Methods »
Yehao Liu · Matteo Pagliardini · Tatjana Chavdarova · Sebastian Stich -
2021 : Contributed Talks in Session 1 (Zoom) »
Sebastian Stich · Futong Liu · Abdurakhmon Sadiev · Frederik Benzing · Simon Roburin -
2021 Workshop: OPT 2021: Optimization for Machine Learning »
Courtney Paquette · Quanquan Gu · Oliver Hinder · Katya Scheinberg · Sebastian Stich · Martin Takac -
2021 Poster: Breaking the centralized barrier for cross-device federated learning »
Sai Praneeth Karimireddy · Martin Jaggi · Satyen Kale · Mehryar Mohri · Sashank Reddi · Sebastian Stich · Ananda Theertha Suresh -
2021 Poster: RelaySum for Decentralized Deep Learning on Heterogeneous Data »
Thijs Vogels · Lie He · Anastasiia Koloskova · Sai Praneeth Karimireddy · Tao Lin · Sebastian Stich · Martin Jaggi -
2021 Poster: An Improved Analysis of Gradient Tracking for Decentralized Machine Learning »
Anastasiia Koloskova · Tao Lin · Sebastian Stich -
2020 : Closing remarks »
Quanquan Gu · Courtney Paquette · Mark Schmidt · Sebastian Stich · Martin Takac -
2020 : Contributed talks in Session 1 (Zoom) »
Sebastian Stich · Laurent Condat · Zhize Li · Ohad Shamir · Tiffany Vlaar · Mohammadi Zaki -
2020 : Live Q&A with Volkan Cevher (Zoom) »
Sebastian Stich -
2020 : Live Q&A with Tong Zhang (Zoom) »
Sebastian Stich -
2020 : Welcome remarks to Session 1 »
Sebastian Stich -
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 -
2020 Poster: Ensemble Distillation for Robust Model Fusion in Federated Learning »
Tao Lin · Lingjing Kong · Sebastian Stich · Martin Jaggi -
2018 Poster: Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization »
Robert Gower · Filip Hanzely · Peter Richtarik · Sebastian Stich -
2018 Poster: Sparsified SGD with Memory »
Sebastian Stich · Jean-Baptiste Cordonnier · Martin Jaggi -
2017 Poster: Safe Adaptive Importance Sampling »
Sebastian Stich · Anant Raj · Martin Jaggi -
2017 Spotlight: Safe Adaptive Importance Sampling »
Sebastian Stich · Anant Raj · Martin Jaggi