Kfir Levy

13 papers · 2014–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird

💎 Century Club · Bronze 🗃️ Keyword Collector (70)

Venues

NeurIPS (8) ICML (3) AAAI (1) AISTATS (1)

Top co-authors

Andreas Krause (3) Volkan Cevher (2) Elad Hazan (2) Shie Mannor (1) Menachem Adelman (1) Gal Korcia (1) Dan Garber (1) Navdeep Kumar (1) Maryam Kamgarpour (1) Joachim M Buhmann (1)

Research topics

Machine Learning (11) Optimization & Theory (10) Mathematics & Optimization (9) Optimization (9) Learning Types (3) Deep Learning (1) Reinforcement Learning (1) Application Areas (1) Core Methods (1) Mathematics (1) Methods (1) Techniques (1)

Keywords

stochastic gradient descent (5) non-convex optimization (3) online learning (3) convex optimization (3) stochastic optimization (2) primal-dual method (2) online gradient descent (2) regret bound (2) online algorithm (2) empirical risk minimization (1) computational efficiency (1) constrained optimization (1) black-box optimization (1) nearest neighbor (1) policy gradient (1) exp-concave loss (1) logistic regression (1) reward function (1) online convex optimization (1) variance reduction (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 Faster Neural Network Training with Approximate Tensor Operations NeurIPS 2021 Fast Projection Onto Convex Smooth Constraints ICML 2021 STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization NeurIPS 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 NeurIPS 2017 Online to Offline Conversions, Universality and Adaptive Minibatch Sizes NeurIPS 2017 k*-Nearest Neighbors: From Global to Local NeurIPS 2016 Beyond Convexity: Stochastic Quasi-Convex Optimization NeurIPS 2015 Fast Rates for Exp-concave Empirical Risk Minimization NeurIPS 2015 Bandit Convex Optimization: Towards Tight Bounds NeurIPS 2014