Papers

1. Online Convex Optimization with Unbounded Memory.
   Raunak Kumar, Sarah Dean, and Robert D. Kleinberg.
   NeurIPS, 2023.
   [proceedings] [arXiv] [poster]

2. Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem.
   Raunak Kumar and Robert D. Kleinberg.
   NeurIPS, 2022.
   [proceedings] [arXiv] [code] [poster]

3. Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent.
   Frederik Kunstner, Raunak Kumar, and Mark Schmidt.
   AISTATS, 2021. (Best Paper Award)
   [proceedings] [arXiv]

4. Retrieving Top Weighted Triangles in Graphs.
   Raunak Kumar*, Paul Liu*, Moses Charikar, and Austin R. Benson.
   WSDM, 2020.
   [proceedings] [arXiv] [code]

5. Convergence Rate of Expectation-Maximization.
   Raunak Kumar and Mark Schmidt.
   NeurIPS Workshop on Optimization for Machine Learning (OPT), 2017.
   [pdf]