Note: ‘*’ represents equal contribution or alphabetical order (e.g. the norm in math and theory papers).
Conference Papers
[C3] Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. Jonathan Uesato*, Ananya Kumar*, Csaba Szepesvari*, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy (Dj) Dvijotham, Nicolas Heess, Pushmeet Kohli. Accepted to International Conference on Learning Representations (ICLR) 2019.
[C2] Approximate Convex Hull of Data Streams. Avrim Blum*, Vladimir Braverman*, Ananya Kumar*, Harry Lang*, Lin Yang* (Alphabetical Order). International Colloquium on Automata, Languages, and Programming (ICALP) 2018.
[C1] Parallel Functional Arrays. Ananya Kumar, Guy E. Blelloch and Robert Harper. Principles of Programming Languages (POPL) 2017. 23% acceptance rate.
Workshop Papers
[W3] Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. Jonathan Uesato*, Ananya Kumar*, Csaba Szepesvari*, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy (Dj) Dvijotham, Nicolas Heess, Pushmeet Kohli. Oral presentation in NeurIPS Workshop on Security in Machine Learning 2018. 4.6% acceptance rate.
[W2] Consistent Jumpy Predictions for Videos and Scenes. Ananya Kumar, S. M. Ali Eslami, Danilo Rezende, Marta Garnelo, Fabio Viola, Edward Lockhart, Murray Shanahan. NeurIPS Workshop on Bayesian Deep Learning 2018 and NeurIPS Physics Workshop 2018.
[W1] Approximate Convex Hull of Data Streams. Avrim Blum*, Vladimir Braverman*, Ananya Kumar*, Harry Lang*, Lin Yang* (Alphabetical Order). Fall Workshop on Computational Geometry (FWCG) 2017.
