Georgios B. Giannakis
15 papers · 2010–2024 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Grand Slam
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Keyword Pioneer
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Trend Setter
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Conference Pioneer
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Century Club Β· Bronze
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Prolific Year Β· Productive
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Keyword Collector
(73)
Top co-authors
Research topics
Machine Learning
(14)
Optimization & Theory
(12)
Mathematics & Optimization
(5)
Optimization
(5)
Artificial Intelligence
(4)
Learning Types
(4)
Core Methods
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Bayesian & Probabilistic
(2)
Learning Paradigms Β· Machine Learning
(2)
Methods
(2)
Application Areas
(1)
Architectures
(1)
Keywords
online learning
(3)
stochastic optimization
(3)
variance reduction
(2)
distributed learning
(2)
convex optimization
(2)
few-shot learning
(2)
stochastic gradient descent
(2)
multi-armed bandit
(2)
neural network training
(1)
temporal difference learning
(1)
regret analysis
(1)
function approximation
(1)
uncertainty quantification
(1)
convergence analysis
(1)
interactive learning
(1)
random feature approximation
(1)
non-convex optimization
(1)
neural network optimization
(1)
model aggregation
(1)
universal approximation
(1)
Papers
Meta-Learning Priors Using Unrolled Proximal Networks
ICLR 2024
Meta-Learning Universal Priors Using Non-Injective Change of Variables
NeurIPS 2024
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
AAAI 2023
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
AAAI 2021
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem
AAAI 2021
Almost Tune-Free Variance Reduction
ICML 2020
Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability
AISTATS 2020
Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation
AISTATS 2020
Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning
AISTATS 2020
On the Convergence of SARAH and Beyond
AISTATS 2020
Pruned Graph Scattering Transforms
ICLR 2020
Bandit Online Learning with Unknown Delays
AISTATS 2019
Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics
JMLR 2019
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets
AAAI 2019
Consensus-Based Distributed Support Vector Machines
JMLR 2010