Eric Balkanski and Yaron Singer. 2018. “
Approximation Guarantees for Adaptive Sampling.” In Proceedings of the 35th International Conference on Machine Learning (ICML 2018).
Eric Balkanski and Yaron Singer. 2018. “
The Adaptive Complexity of Maximizing a Submodular Function.” In Proceedings of the ACM Symposium on the Theory of Computation (STOC) 2018 .
Download Dimitris Kalimeris, Karthik Subbian, Udi Weinsberg, and Yaron Singer. 2018. “
Learning Diffusion using Hyperparameters.” In Proceedings of the 35th International Conference on Machine Learning (ICML 2018).
Nir Rosenfeld, Eric Balkanski, Amir Globerson, and Yaron Singer. 2018. “
Learning to Optimize Combinatorial Functions.” In Proceedings of the 35th International Conference on Machine Learning (ICML 2018).
Download Eric Balkanski, Adam Breuer, and Yaron Singer. 2018. “
Non-monotone Submodular Maximization in Exponentially Fewer Iterations.” In Proceedings of the Conference on Neural Information Processing Systems (NIPS) 2018.
Avinatan Hassidim and Yaron Singer. 2018. “
Optimization for Approximate Submodularity.” In Proceedings of the Conference on Neural Information Processing Systems (NIPS) 2018.