Kfir Levy
13 papers · 2014–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (25) π Interdisciplinary Bridge π Conference Polyglot (4)
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Academic Marathon
(10)
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Cross-Pollinator
(14)
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Century Club
(13)
ποΈ
Keyword Collector
(59)
Conferences
NIPS (8)
ICML (3)
AAAI (1)
AISTATS (1)
Top co-authors
Keywords
stochastic gradient descent
(5)
online learning
(3)
convex optimization
(3)
regret bound
(2)
non-convex optimization
(2)
stochastic optimization
(2)
online gradient descent
(2)
online algorithm
(2)
primal-dual method
(2)
computational efficiency
(1)
constrained optimization
(1)
policy gradient
(1)
logistic regression
(1)
empirical risk minimization
(1)
principal component analysis
(1)
nonconvex optimization
(1)
online convex optimization
(1)
variance reduction
(1)
reward function
(1)
pattern recognition
(1)
Papers
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization
AAAI 2024
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees
ICML 2022
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization
NIPS 2021
Faster Neural Network Training with Approximate Tensor Operations
NIPS 2021
Fast Projection Onto Convex Smooth Constraints
ICML 2021
Online Convex Optimization in the Random Order Model
ICML 2020
Projection Free Online Learning over Smooth Sets
AISTATS 2019
Continuous DR-submodular Maximization: Structure and Algorithms
NIPS 2017
Online to Offline Conversions, Universality and Adaptive Minibatch Sizes
NIPS 2017
k*-Nearest Neighbors: From Global to Local
NIPS 2016
Beyond Convexity: Stochastic Quasi-Convex Optimization
NIPS 2015
Fast Rates for Exp-concave Empirical Risk Minimization
NIPS 2015
Bandit Convex Optimization: Towards Tight Bounds
NIPS 2014