Sebastian U. Stich
10 papers · 2017–2026 · 8 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory · Machine Learning
(9)
Deep Learning
(5)
Artificial Intelligence
(3)
Application Areas
(3)
Mathematics & Optimization
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Types
(2)
Optimization
(2)
Optimization & Theory · Deep Learning
(2)
Core AI
(1)
Learning Paradigms · Machine Learning
(1)
Models
(1)
Techniques
(1)
Keywords
coordinate descent
(2)
distributed learning
(2)
distributed optimization
(2)
distributed training
(2)
stochastic gradient descent
(2)
communication efficiency
(2)
convex optimization
(2)
convergence rate
(2)
communication complexity
(1)
model pruning
(1)
ridge regression
(1)
variance reduction
(1)
lasso regression
(1)
l1 regularization
(1)
data augmentation
(1)
nonlinear dynamics
(1)
asynchronous optimization
(1)
delayed gradient
(1)
generative model
(1)
federated learning
(1)
Papers
On the Stability of Nonlinear Dynamics in GD and SGD: Beyond Quadratic Potentials
COLT 2026
Stabilized Proximal-Point Methods for Federated Optimization
NeurIPS 2024
On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data
CVPR 2023
Semantic Perturbations With Normalizing Flows for Improved Generalization
ICCV 2021
Don't Use Large Mini-batches, Use Local SGD
ICLR 2020
Dynamic Model Pruning with Feedback
ICLR 2020
The Error-Feedback framework: SGD with Delayed Gradients
JMLR 2020
Efficient Greedy Coordinate Descent for Composite Problems
AISTATS 2019
Local SGD Converges Fast and Communicates Little
ICLR 2019
Approximate Steepest Coordinate Descent
ICML 2017