Harshvardhan

Harshvardhan

PhD CSE

UCSD

Biography

I’m a PhD student in CSE at UCSD working on optimization and learning theory.

Interests
  • Machine Learning
  • Learning Theory
  • Optimization
Education

  • PhD in Computer Science, 2026

    University of California, San Diego (UCSD)

  • MS in Data Science, 2021

    Ecole Polytechnique Federale de Lausanne (EPFL)

  • BTech in Electrical Engineering, Minor in AI, 2019

    Indian Institute of Technology, Kanpur (IIT Kanpur)

Publications

Harsh Vardhan, Avishek Ghosh, Arya Mazumdar
March 2024 TMLR 2024
An Improved Federated Clustering Algorithm with Model-based Clustering
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Srujan T Thomdapu, Harshvardhan, Ketan Rajawat
December 2023 TSP
Stochastic compositional gradient descent under compositional constraints
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Xiaofan Yu, Lucy Cherkasova,, Harsh Vardhan, Quanling Zhao, Emily Ekaireb, Xiyuan Zhang, Arya Mazumdar, Tajana Rosing
May 2023 IoTDI 2023
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
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Harsh Vardhan, Sebastian U. Stich
February 2022 OPT 2021
Tackling benign nonconvexity with smoothing and stochastic gradients
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Vikas Singh, Harshvardhan, Nishchal Verma, Yan Cui
July 2018 In FUZZ-IEEE 2018
Optimal Feature Selection using Fuzzy Combination of Feature Subset for Transcriptome Data
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