Anastasia Koloskova
10 papers · 2019–2025 · 2 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory · Machine Learning
(10)
Deep Learning
(4)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Core AI
(2)
Optimization
(2)
Optimization & Theory · Deep Learning
(2)
Techniques
(2)
Application Areas
(1)
Architectures
(1)
Learning Paradigms
(1)
Mathematics
(1)
Keywords
decentralized optimization
(3)
convergence guarantee
(2)
gossip algorithm
(2)
stochastic gradient descent
(2)
variance reduction
(1)
linear convergence
(1)
distributed learning
(1)
incremental gradient
(1)
convergence analysis
(1)
l1 regularization
(1)
neural network optimization
(1)
coordinate descent
(1)
gradient clipping
(1)
support vector machine
(1)
deep learning
(1)
convex optimization
(1)
communication compression
(1)
bias analysis
(1)
consensus algorithm
(1)
stochastic optimization
(1)
Papers
Certified Unlearning for Neural Networks
ICML 2025
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization
AISTATS 2024
On Convergence of Incremental Gradient for Non-convex Smooth Functions
ICML 2024
The Privacy Power of Correlated Noise in Decentralized Learning
ICML 2024
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
ICML 2023
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free!
AISTATS 2021
Consensus Control for Decentralized Deep Learning
ICML 2021
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
ICML 2020
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication
ICML 2019
Efficient Greedy Coordinate Descent for Composite Problems
AISTATS 2019