1 citations · 2 across the 2 of their papers we have counts for
4 papers
Instance Specific Approximations for Submodular Maximization
Eric Balkanski, Sharon Qian, Yaron Singer
For many optimization problems in machine learning, finding an optimal solution is computationally intractable and we seek algorithms that perform well in practice. Since computati…
Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias
Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov +6
Common methods for interpreting neural models in natural language processing typically examine either their structure or their behavior, but not both. We propose a methodology grou…
Robustness from Simple Classifiers
Sharon Qian, Dimitris Kalimeris, Gal Kaplun +1
Despite the vast success of Deep Neural Networks in numerous application domains, it has been shown that such models are not robust i.e., they are vulnerable to small adversarial p…
Fast Parallel Algorithms for Statistical Subset Selection Problems
Sharon Qian, Yaron Singer
In this paper, we propose a new framework for designing fast parallel algorithms for fundamental statistical subset selection tasks that include feature selection and experimental…