Papers

Publications

Dissertation

• Learning from Interactions via Online Decision-making and Network Science.
  Raunak Kumar.
  PhD Thesis, Cornell University, 2024.
  [pdf]

Papers

1. Learning in Budgeted Auctions with Spacing Objectives.
   Giannis Fikioris, Robert Kleinberg, Yoav Kolumbus, Raunak Kumar, Yishay Mansour, and Éva Tardos.
   In Submission, 2024.
   [arXiv]

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

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

4. 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]

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

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