Singer, Yaron

26 publications

NeurIPS 2024 Tree of Attacks: Jailbreaking Black-Box LLMs Automatically Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum Anderson, Yaron Singer, Amin Karbasi

ICMLW 2024 Tree of Attacks: Jailbreaking Black-Box LLMs Automatically Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum S Anderson, Yaron Singer, Amin Karbasi

ICML 2021 Instance Specific Approximations for Submodular Maximization Eric Balkanski, Sharon Qian, Yaron Singer

NeurIPS 2020 An Optimal Elimination Algorithm for Learning a Best Arm Avinatan Hassidim, Ron Kupfer, Yaron Singer

NeurIPS 2020 Investigating Gender Bias in Language Models Using Causal Mediation Analysis Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov, Sharon Qian, Daniel Nevo, Yaron Singer, Stuart Shieber

ICML 2020 Predicting Choice with Set-Dependent Aggregation Nir Rosenfeld, Kojin Oshiba, Yaron Singer

NeurIPS 2020 The Adaptive Complexity of Maximizing a Gross Substitutes Valuation Ron Kupfer, Sharon Qian, Eric Balkanski, Yaron Singer

ICML 2020 The FAST Algorithm for Submodular Maximization Adam Breuer, Eric Balkanski, Yaron Singer

NeurIPS 2019 Fast Parallel Algorithms for Statistical Subset Selection Problems Sharon Qian, Yaron Singer

ICML 2019 Robust Influence Maximization for Hyperparametric Models Dimitris Kalimeris, Gal Kaplun, Yaron Singer

ICML 2018 Approximation Guarantees for Adaptive Sampling Eric Balkanski, Yaron Singer

ICML 2018 Learning Diffusion Using Hyperparameters Dimitris Kalimeris, Yaron Singer, Karthik Subbian, Udi Weinsberg

ICML 2018 Learning to Optimize Combinatorial Functions Nir Rosenfeld, Eric Balkanski, Amir Globerson, Yaron Singer

NeurIPS 2018 Non-Monotone Submodular Maximization in Exponentially Fewer Iterations Eric Balkanski, Adam Breuer, Yaron Singer

NeurIPS 2018 Optimization for Approximate Submodularity Yaron Singer, Avinatan Hassidim

NeurIPS 2017 Minimizing a Submodular Function from Samples Eric Balkanski, Yaron Singer

ICML 2017 Robust Guarantees of Stochastic Greedy Algorithms Avinatan Hassidim, Yaron Singer

NeurIPS 2017 Robust Optimization for Non-Convex Objectives Robert S. Chen, Brendan Lucier, Yaron Singer, Vasilis Syrgkanis

COLT 2017 Submodular Optimization Under Noise Avinatan Hassidim, Yaron Singer

NeurIPS 2017 The Importance of Communities for Learning to Influence Eric Balkanski, Nicole Immorlica, Yaron Singer

COLT 2017 The Sample Complexity of Optimizing a Convex Function Eric Balkanski, Yaron Singer

ICML 2016 Learning Sparse Combinatorial Representations via Two-Stage Submodular Maximization Eric Balkanski, Baharan Mirzasoleiman, Andreas Krause, Yaron Singer

NeurIPS 2016 Maximization of Approximately Submodular Functions Thibaut Horel, Yaron Singer

NeurIPS 2016 The Power of Optimization from Samples Eric Balkanski, Aviad Rubinstein, Yaron Singer

NeurIPS 2015 Information-Theoretic Lower Bounds for Convex Optimization with Erroneous Oracles Yaron Singer, Jan Vondrak

NeurIPS 2015 Learnability of Influence in Networks Harikrishna Narasimhan, David C. Parkes, Yaron Singer