Can Karakus

4 papers · 2017–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12) 📈 Trend Setter

Venues

NeurIPS (2) ICML (1) JMLR (1)

Top co-authors

Suhas Diggavi (3) Wotao Yin (2) Yifan Sun (2) Mingyi Hong (1) Branislav Kveton (1) Kaan Ozkara (1) Volkan Cevher (1) Parameswaran Raman (1) Shoham Sabach (1) Deepesh Data (1)

Research topics

Machine Learning (4) Optimization & Theory · Machine Learning (4) Deep Learning (3) Mathematics & Optimization (3) Optimization (3) Application Areas (2) Optimization & Theory · Deep Learning (2) Artificial Intelligence (1) Computer Science (1) Architectures (1) Core AI (1) Systems (1)

Keywords

distributed optimization (3) straggler mitigation (2) gradient descent (2) communication efficiency (1) linear convergence (1) gradient compression (1) distributed stochastic gradient descent (1) erasure coding (1) error compensation (1) gradient quantization (1) local computation (1) coded computation (1) encoding matrix (1) gradient sparsification (1) data encoding (1) sample path convergence (1) hypergradient descent (1) gpt2 (1) amsgrad (1) avgrad (1)

Papers

MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent ICML 2024 Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations NeurIPS 2019 Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning JMLR 2019 Straggler Mitigation in Distributed Optimization Through Data Encoding NeurIPS 2017