Matthew Faw
5 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory · Machine Learning
(4)
Mathematics & Optimization
(2)
Application Areas
(2)
Optimization
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Core AI
(1)
Foundations
(1)
Learning Types
(1)
Methods
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
convergence rate
(2)
non-convex optimization
(2)
stochastic gradient descent
(2)
bandits
(1)
mixture distribution
(1)
gradient norm
(1)
adaptive step size
(1)
adaptive gradient method
(1)
adaptive gradient
(1)
step size
(1)
smoothness condition
(1)
model reuse
(1)
stochastic gradient oracle
(1)
stopping time
(1)
affinity bia
(1)
regret lower bound
(1)
distribution adaptation
(1)
optimistic tree search
(1)
adaptive stochastic gradient descent
(1)
affine variance
(1)
Papers
In-Context Fine-Tuning for Time-Series Foundation Models
ICML 2025
On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback
ICML 2025
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD
COLT 2023
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance
COLT 2022
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
NeurIPS 2020