Jacob D Abernethy
4 papers · 2021–2024 · 2 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (2) 🐝 Cross-Pollinator (14)
🗺️
Taxonomy Completionist
(11)
Conferences
ICML (3)
AISTATS (1)
Top co-authors
Keywords
convergence rate
(2)
online learning
(1)
convex optimization
(1)
variational inequality
(1)
neural network optimization
(1)
hedge algorithm
(1)
gradient descent
(1)
expert advice
(1)
riemannian manifold
(1)
regret bound
(1)
exponential weight
(1)
extragradient method
(1)
last-iterate convergence
(1)
linear network
(1)
group fairness
(1)
relu network
(1)
monotone operator
(1)
active sampling
(1)
loss minimization
(1)
multi-class prediction
(1)
Papers
Extragradient Type Methods for Riemannian Variational Inequality Problems
AISTATS 2024
Active Sampling for Min-Max Fairness
ICML 2022
ActiveHedge: Hedge meets Active Learning
ICML 2022
A Modular Analysis of Provable Acceleration via Polyak’s Momentum: Training a Wide ReLU Network and a Deep Linear Network
ICML 2021