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Contributed talks in Session 1 (Zoom)
Sebastian Stich · Laurent Condat · Zhize Li · Ohad Shamir · Tiffany Vlaar · Mohammadi Zaki

Fri Dec 11 05:00 AM -- 05:30 AM (PST) @
Event URL: https://opt-ml.org/papers.html#poster1 »

Join us to hear some new, exciting work at the intersection of optimization and ML. Come and ask questions and join the discussion.

Speakers: Laurent Condat, "Distributed Proximal Splitting Algorithms with Rates and Acceleration" Zhize Li, "PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization" Ohad Shamir, "Can We Find Near-Approximately-Stationary Points of Nonsmooth Nonconvex Functions?" Tiffany Vlaar, "Constraint-Based Regularization of Neural Networks" Mohammadi Zaki, "Employing No Regret Learners for Pure Exploration in Linear Bandits"

You can find a video on the NeurIPS website where the speakers discuss in detail their paper.

Author Information

Sebastian Stich (EPFL)

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)

Laurent Condat (KAUST)
Zhize Li (King Abdullah University of Science and Technology (KAUST))

Zhize Li is a Research Scientist at the King Abdullah University of Science and Technology (KAUST) since September 2020. He obtained his PhD degree in Computer Science from Tsinghua University in 2019 (Advisor: Prof. Jian Li). He was a postdoc at KAUST (Hosted by Prof. Peter Richtárik), a visiting scholar at Duke University (Hosted by Prof. Rong Ge), and a visiting scholar at Georgia Institute of Technology (Hosted by Prof. Guanghui (George) Lan).

Ohad Shamir (Weizmann Institute of Science)
Tiffany Vlaar (University of Edinburgh)
Mohammadi Zaki (Indian Institute of Science Bangalore)

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