Georgios B. Giannakis
15 papers · 2010–2024 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (14) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (9)
🌈
Renaissance Researcher
(5)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(14)
🏆
Grand Slam
🗃️
Keyword Collector
(63)
🚀
Conference Pioneer
💎
Century Club
(15)
📈
Trend Setter
⚡
Prolific Year
(6)
Conferences
AISTATS (5)
AAAI (4)
ICLR (2)
JMLR (2)
ICML (1)
NIPS (1)
Top co-authors
Keywords
online learning
(3)
stochastic optimization
(3)
stochastic gradient descent
(2)
distributed learning
(2)
convex optimization
(2)
variance reduction
(2)
multi-armed bandit
(2)
few-shot learning
(1)
neural network training
(1)
regret analysis
(1)
function approximation
(1)
uncertainty quantification
(1)
convergence analysis
(1)
universal approximation
(1)
gaussian process
(1)
interactive learning
(1)
random feature approximation
(1)
neural network optimization
(1)
model aggregation
(1)
nonconvex optimization
(1)
Papers
Meta-Learning Universal Priors Using Non-Injective Change of Variables
NIPS 2024
Meta-Learning Priors Using Unrolled Proximal Networks
ICLR 2024
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
AAAI 2023
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem
AAAI 2021
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
AAAI 2021
Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability
AISTATS 2020
On the Convergence of SARAH and Beyond
AISTATS 2020
Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning
AISTATS 2020
Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation
AISTATS 2020
Pruned Graph Scattering Transforms
ICLR 2020
Almost Tune-Free Variance Reduction
ICML 2020
Bandit Online Learning with Unknown Delays
AISTATS 2019
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets
AAAI 2019
Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics
JMLR 2019
Consensus-Based Distributed Support Vector Machines
JMLR 2010