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. 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.
Workshop Papers
[W4] Uncovering Surprising Behaviors in Reinforcement Learning via Worst-Case Analysis. Avraham Ruderman, Richard Everett, Bristy Sikder, Hubert Soyer, Charles Beattie, Jonathan Uesato, Ananya Kumar and Pushmeet Kohli. Oral presentation in ICLR SafeML Workshop 2019. 4.8% oral acceptance rate.
[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% oral 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.
