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Q&A with Professor Peter Richtarik
Peter Richtarik
Mon Dec 13 08:25 AM -- 08:30 AM (PST) @ None
Author Information
Peter Richtarik (KAUST)
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2021 : Better Linear Rates for SGD with Data Shuffling »
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2021 : Better Linear Rates for SGD with Data Shuffling »
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2021 : Shifted Compression Framework: Generalizations and Improvements »
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2021 : EF21 with Bells & Whistles: Practical Algorithmic Extensions of Modern Error Feedback »
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2021 : On Server-Side Stepsizes in Federated Optimization: Theory Explaining the Heuristics »
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2021 : FedMix: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning »
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2021 : FedMix: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning »
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2021 : Keynote Talk: Permutation Compressors for Provably Faster Distributed Nonconvex Optimization (Peter Richtarik) »
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2021 Poster: Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization »
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2021 Poster: EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback »
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2021 Poster: Error Compensated Distributed SGD Can Be Accelerated »
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2021 Poster: CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression »
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2021 Poster: Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks »
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2021 Oral: EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback »
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2020 : Poster Session 1 (gather.town) »
Laurent Condat · Tiffany Vlaar · Ohad Shamir · Mohammadi Zaki · Zhize Li · Guan-Horng Liu · Samuel Horváth · Mher Safaryan · Yoni Choukroun · Kumar Shridhar · Nabil Kahale · Jikai Jin · Pratik Kumar Jawanpuria · Gaurav Kumar Yadav · Kazuki Koyama · Junyoung Kim · Xiao Li · Saugata Purkayastha · Adil Salim · Dighanchal Banerjee · Peter Richtarik · Lakshman Mahto · Tian Ye · Bamdev Mishra · Huikang Liu · Jiajie Zhu -
2020 Poster: Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm »
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2020 Poster: Linearly Converging Error Compensated SGD »
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2020 Poster: Random Reshuffling: Simple Analysis with Vast Improvements »
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2020 Spotlight: Linearly Converging Error Compensated SGD »
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2020 Session: Orals & Spotlights Track 21: Optimization »
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2020 Poster: Lower Bounds and Optimal Algorithms for Personalized Federated Learning »
Filip Hanzely · Slavomír Hanzely · Samuel Horváth · Peter Richtarik -
2020 Poster: Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization »
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2019 Poster: RSN: Randomized Subspace Newton »
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2019 Poster: Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates »
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2019 Spotlight: Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates »
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2018 Poster: Stochastic Spectral and Conjugate Descent Methods »
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2018 Poster: Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization »
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2018 Poster: SEGA: Variance Reduction via Gradient Sketching »
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2015 Poster: Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling »
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