Kfir Yehuda Levy
18 papers · 2016–2025 · 3 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (22) 🌍 Conference Polyglot · Bronze 🗃️ Keyword Collector (83)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(15)
Optimization & Theory · Machine Learning
(14)
Mathematics & Optimization
(12)
Optimization
(12)
Artificial Intelligence
(4)
Reinforcement Learning
(3)
Learning Paradigms
(3)
Computer Science
(2)
Deep Learning
(2)
Application Areas
(2)
Applications · Reinforcement Learning
(2)
Methods
(2)
Applications · Computer Science
(1)
Core AI
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
convergence rate
(5)
stochastic convex optimization
(5)
federated learning
(3)
stochastic optimization
(3)
gradient estimation
(2)
differential privacy
(2)
convex optimization
(2)
multilevel monte carlo
(2)
non-convex optimization
(2)
temporal difference learning
(1)
constrained optimization
(1)
policy learning
(1)
stochastic gradient descent
(1)
variance reduction
(1)
global convergence
(1)
parallel optimization
(1)
policy gradient
(1)
communication efficiency
(1)
markov chain
(1)
online convex optimization
(1)
Papers
Beyond Communication Overhead: A Multilevel Monte Carlo Approach for Mitigating Compression Bias in Distributed Learning
ICML 2025
Do Stochastic, Feel Noiseless: Stable Stochastic Optimization via a Double Momentum Mechanism
ICLR 2025
Enhancing Parallelism in Decentralized Stochastic Convex Optimization
ICML 2025
Global Convergence of Policy Gradient in Average Reward MDPs
ICLR 2025
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation
ICML 2025
Safety in the Face of Adversity: Achieving Zero Constraint Violation in Online Learning with Slowly Changing Constraints
AISTATS 2025
A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle
ICML 2024
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel
ICML 2024
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers
ICML 2024
Efficient Value Iteration for s-rectangular Robust Markov Decision Processes
ICML 2024
Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training
ICML 2024
Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems
ICML 2024
DoCoFL: Downlink Compression for Cross-Device Federated Learning
ICML 2023
Adapting to Mixing Time in Stochastic Optimization with Markovian Data
ICML 2022
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
ICLR 2022
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge
ICML 2021
Online Variance Reduction with Mixtures
ICML 2019
On Graduated Optimization for Stochastic Non-Convex Problems
ICML 2016