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Peter Davies

5 papers · 2019–2021 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (10) πŸ‘‘ Triple Crown

Venues

NeurIPS (2) AISTATS (1) ICLR (1) ICML (1)

Top co-authors

Dan Alistarh (4) Foivos Alimisis (2) Saleh Ashkboos (1) Mihai Cucuringu (1) Bart Vandereycken (1) Amirmojtaba Sabour (1) Aldo Glielmo (1) Niusha Moshrefi (1) Vijaykrishna Gurunanthan (1) Giorgi Nadiradze (1)

Research topics

Machine Learning (4) Optimization & Theory (4) Core Methods (2) Computer Science (1) Data Science & Analytics (1) Mathematics & Optimization (1) Applications (1) Optimization (1) Systems (1)

Keywords

stochastic gradient descent (1) spectral clustering (1) principal component analysis (1) communication complexity (1) distributed learning (1) decentralized optimization (1) distributed optimization (1) vector quantization (1) variance reduction (1) local updates (1) newton's method (1) stochastic block model (1) generalized linear model (1) distributed algorithm (1) lower bound (1) preconditioned gradient descent (1) distributed mean estimation (1) communication cost (1) signed graph (1) asynchronous algorithm (1)

Papers

Asynchronous Decentralized SGD with Quantized and Local Updates NeurIPS 2021 Communication-Efficient Distributed Optimization with Quantized Preconditioners ICML 2021 Distributed Principal Component Analysis with Limited Communication NeurIPS 2021 New Bounds For Distributed Mean Estimation and Variance Reduction ICLR 2021 SPONGE: A generalized eigenproblem for clustering signed networks AISTATS 2019