Georgios Giannakis
8 papers · 2016–2023 · 2 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird
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Topic Evolution
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Unstoppable · Bronze
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Research topics
Machine Learning
(8)
Optimization & Theory · Machine Learning
(7)
Deep Learning
(5)
Mathematics & Optimization
(4)
Optimization
(4)
Optimization & Theory · Deep Learning
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Learning Paradigms · Artificial Intelligence
(3)
Reinforcement Learning
(1)
Core Methods
(1)
Learning Paradigms · Machine Learning
(1)
Mathematics
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Keywords
gradient descent
(3)
communication efficiency
(2)
distributed learning
(2)
quadratic equation
(2)
phase retrieval
(2)
convex optimization
(1)
non-convex optimization
(1)
compressed sensing
(1)
random feature approximation
(1)
sharpness-aware minimization
(1)
markov decision process
(1)
online learning
(1)
truncated gradient
(1)
strongly convex
(1)
finite-time analysis
(1)
signal recovery
(1)
multi-kernel learning
(1)
function approximation
(1)
temporal difference learning
(1)
stochastic gradient
(1)
Papers
Enhancing Sharpness-Aware Optimization Through Variance Suppression
NeurIPS 2023
Heavy Ball Momentum for Conditional Gradient
NeurIPS 2021
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
NeurIPS 2020
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
NeurIPS 2019
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
NeurIPS 2018
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments
AISTATS 2018
Solving Most Systems of Random Quadratic Equations
NeurIPS 2017
Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow
NeurIPS 2016