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Roi Livni

33 papers · 2012–2025 · 5 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (12) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (13)
πŸƒ Academic Marathon (13) πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🀝 Dynamic Duo (12) πŸ”¬ Deep Specialist (16) πŸ† Keyword Champion πŸ”₯ Unstoppable (7) πŸš€ Conference Pioneer ⚑ Prolific Year (5) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (120) πŸ’Ž Century Club (33) πŸ“ˆ Trend Setter

Conferences

NIPS (17) COLT (7) ICML (5) AISTATS (3) ALT (1)

Papers

Rapid Overfitting of Multi-Pass SGD in Stochastic Convex Optimization ICML 2025 The Sample Complexity of Gradient Descent in Stochastic Convex Optimization NIPS 2024 Credit Attribution and Stable Compression NIPS 2024 The sample complexity of ERMs in stochastic convex optimization AISTATS 2024 Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing ICML 2024 Information Theoretic Lower Bounds for Information Theoretic Upper Bounds NIPS 2023 Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization NIPS 2022 Better Best of Both Worlds Bounds for Bandits with Switching Costs NIPS 2022 Benign Underfitting of Stochastic Gradient Descent NIPS 2022 Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games COLT 2021 Littlestone Classes are Privately Online Learnable NIPS 2021 Never Go Full Batch (in Stochastic Convex Optimization) NIPS 2021 SGD Generalizes Better Than GD (And Regularization Doesn’t Help) COLT 2021 Prediction with Corrupted Expert Advice NIPS 2020 Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study NIPS 2020 Synthetic Data Generators -- Sequential and Private NIPS 2020 A Limitation of the PAC-Bayes Framework NIPS 2020 Graph-based Discriminators: Sample Complexity and Expressiveness NIPS 2019 Generalize Across Tasks: Efficient Algorithms for Linear Representation Learning ALT 2019 On Communication Complexity of Classification Problems COLT 2019 Learning Infinite Layer Networks Without the Kernel Trick ICML 2017 Affine-Invariant Online Optimization and the Low-rank Experts Problem NIPS 2017 Multi-Armed Bandits with Metric Movement Costs NIPS 2017 Effective Semisupervised Learning on Manifolds COLT 2017 Bandits with Movement Costs and Adaptive Pricing COLT 2017 Online Pricing with Strategic and Patient Buyers NIPS 2016 Online Learning with Low Rank Experts COLT 2016 Improper Deep Kernels AISTATS 2016 Classification with Low Rank and Missing Data ICML 2015 On the Computational Efficiency of Training Neural Networks NIPS 2014 Vanishing Component Analysis ICML 2013 Honest Compressions and Their Application to Compression Schemes COLT 2013 A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012