Michael Friedlander
6 papers · 2013–2024 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (11)
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
π
Conference Pioneer
Conferences
ICML (3)
ICLR (2)
AISTATS (1)
Top co-authors
Keywords
coordinate descent
(2)
convex optimization
(2)
convergence analysis
(1)
composite optimization
(1)
regret minimization
(1)
gaussian process
(1)
online convex optimization
(1)
sparse optimization
(1)
dual averaging
(1)
mirror descent
(1)
gaussian process classification
(1)
non-conjugate likelihood
(1)
proximal gradient
(1)
learning rate
(1)
greedy algorithm
(1)
optimization algorithm
(1)
convergence rate
(1)
lipschitz constant
(1)
latent gaussian model
(1)
gauss-southwell rule
(1)
Papers
Fair and Efficient Contribution Valuation for Vertical Federated Learning
ICLR 2024
Fast convergence of stochastic subgradient method under interpolation
ICLR 2021
Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization
AISTATS 2020
Online mirror descent and dual averaging: keeping pace in the dynamic case
ICML 2020
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
ICML 2015
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models
ICML 2013