Kfir Y. Levy
14 papers · 2014–2024 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze π Academic Marathon Β· Half πΊοΈ Taxonomy Completionist (30) π£ Hot Topic Early Bird
π
Century Club Β· Bronze
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Keyword Collector
(75)
Venues
Top co-authors
Research topics
Machine Learning
(14)
Optimization & Theory
(12)
Mathematics & Optimization
(10)
Optimization
(10)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(3)
Core AI
(3)
Core Methods
(2)
Reinforcement Learning
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Methods
(1)
Keywords
stochastic optimization
(6)
convex optimization
(4)
convergence rate
(3)
stochastic gradient descent
(2)
multi-armed bandit
(2)
distributed learning
(2)
online optimization
(2)
variance reduction
(2)
online learning
(2)
regret minimization
(1)
constrained optimization
(1)
feature distribution
(1)
policy gradient
(1)
covariance matrix
(1)
adversarial robustness
(1)
logistic regression
(1)
exploration exploitation
(1)
importance sampling
(1)
linear regression
(1)
game theory
(1)
Papers
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
NeurIPS 2024
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML
NeurIPS 2024
DropCompute: simple and more robust distributed synchronous training via compute variance reduction
NeurIPS 2023
Meta-Learning Adversarial Bandit Algorithms
NeurIPS 2023
Policy Gradient for Rectangular Robust Markov Decision Processes
NeurIPS 2023
Robust Linear Regression for General Feature Distribution
AISTATS 2023
Adaptive Sampling for Stochastic Risk-Averse Learning
NeurIPS 2020
Multi-Player Bandits: The Adversarial Case
JMLR 2020
A Domain Agnostic Measure for Monitoring and Evaluating GANs
NeurIPS 2019
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
NeurIPS 2019
Faster Rates for Convex-Concave Games
COLT 2018
Online Adaptive Methods, Universality and Acceleration
NeurIPS 2018
Online Variance Reduction for Stochastic Optimization
COLT 2018
Logistic Regression: Tight Bounds for Stochastic and Online Optimization
COLT 2014