Kfir Y. Levy
14 papers · 2014–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (33)
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Conference Polyglot
(4)
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Academic Marathon
(10)
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Cross-Pollinator
(11)
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Century Club
(14)
ποΈ
Keyword Collector
(71)
Conferences
NIPS (9)
COLT (3)
AISTATS (1)
JMLR (1)
Top co-authors
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
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML
NIPS 2024
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
NIPS 2024
Policy Gradient for Rectangular Robust Markov Decision Processes
NIPS 2023
Robust Linear Regression for General Feature Distribution
AISTATS 2023
Meta-Learning Adversarial Bandit Algorithms
NIPS 2023
DropCompute: simple and more robust distributed synchronous training via compute variance reduction
NIPS 2023
Multi-Player Bandits: The Adversarial Case
JMLR 2020
Adaptive Sampling for Stochastic Risk-Averse Learning
NIPS 2020
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
NIPS 2019
A Domain Agnostic Measure for Monitoring and Evaluating GANs
NIPS 2019
Online Variance Reduction for Stochastic Optimization
COLT 2018
Faster Rates for Convex-Concave Games
COLT 2018
Online Adaptive Methods, Universality and Acceleration
NIPS 2018
Logistic Regression: Tight Bounds for Stochastic and Online Optimization
COLT 2014