Michael Friedlander
7 papers · 2005–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Full πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
π§
Keyword Pioneer
π
Conference Pioneer
Venues
Top co-authors
Research topics
Keywords
convex optimization
(3)
convergence rate
(2)
coordinate descent
(2)
composite optimization
(1)
empirical risk minimization
(1)
regret minimization
(1)
gaussian process
(1)
online convex optimization
(1)
strongly convex
(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)
lipschitz constant
(1)
vertical federated learning
(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
Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm
AISTATS 2005