Papers
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Online Convex Optimization with Unbounded Memory.
Raunak Kumar, Sarah Dean, and Robert D. Kleinberg.
NeurIPS, 2023.
[proceedings] [arXiv] [poster] -
Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem.
Raunak Kumar and Robert D. Kleinberg.
NeurIPS, 2022.
[proceedings] [arXiv] [code] [poster] -
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] -
Retrieving Top Weighted Triangles in Graphs.
Raunak Kumar*, Paul Liu*, Moses Charikar, and Austin R. Benson.
WSDM, 2020.
[proceedings] [arXiv] [code] -
Convergence Rate of Expectation-Maximization.
Raunak Kumar and Mark Schmidt.
NeurIPS Workshop on Optimization for Machine Learning (OPT), 2017.
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