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Krishnakumar Balasubramanian

University of California, Davis (from arXiv:2509.22794, 2025) · ORCID · OpenAlex

22 papers in scope · 18 published · 4 on the econ.EM arXiv · 153 citations · h-index 7 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Lifeng Lai
  2. Yanhao Jin
  3. Xuxing Chen
  4. Abhishek Roy
  5. Yifan Hu
  6. Arash Mehrjou
  7. Si Kai Lee
  8. Anant Raj
  9. Krikamol Muandet
  10. Maneesh Sahani
  11. Arthur Gretton
  12. Min Seong Kim
  13. Myung-Hyun Song
  14. Ryan Cumings-Menon
  15. Zhexiao Lin
  16. Rahul Singh
  17. Yuhao Zhou
  18. Jun Zhu
  19. Ziyu Wang
  20. Fang Han

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(4 of 22)

Statistical Inference for Linear Functionals of Online Least-Squares SGD When t ≳ d 1+δ
published2025 · IEEE Transactions on Information Theory
with Bhavya Agrawalla, Promit Ghosal
IEEE Transactions on Information Theory
Differentially Private Two-Stage Gradient Descent for Instrumental Variable Regression
working paper2025 · arXiv
with Haodong Liang, Yanhao Jin, Lifeng Lai
Paper profile arXiv arXiv:2509.22794
Functional linear and single-index models: A unified approach via Gaussian Stein identity
published2025 · Bernoulli · 3 citations · first circulated 2022
with Hans-Georg Müller, Bharath K. Sriperumbudur
Bernoulli
Gaussian and Bootstrap Approximation for Matching-based Average Treatment Effect Estimators
working paper2024 · arXiv
with Zhaoyang Shi, Chinmoy Bhattacharjee, Wolfgang Polonik
Paper profile arXiv arXiv:2412.17181
Transformers Handle Endogeneity in In-Context Linear Regression
working paper2024 · arXiv
with Haodong Liang, Lifeng Lai
Paper profile arXiv arXiv:2410.01265
A flexible approach for normal approximation of geometric and topological statistics
published2024 · Bernoulli · 1 citations · first circulated 2022
with Zhaoyang Shi, Wolfgang Polonik
Bernoulli
On the asymptotic risk of ridge regression with many predictors
published2024 · Indian Journal of Pure and Applied Mathematics
with Prabir Burman, Debashis Paul
Indian Journal of Pure and Applied Mathematics
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
working paper2024 · arXiv
with Xuxing Chen, Abhishek Roy, Yifan Hu
Paper profile arXiv arXiv:2405.19463
An Analysis of Transformed Unadjusted Langevin Algorithm for Heavy-Tailed Sampling
published2023 · IEEE Transactions on Information Theory · first circulated 2022
with Ye He, Murat A. Erdogdu
IEEE Transactions on Information Theory
Stochastic Zeroth-Order Functional Constrained Optimization: Oracle Complexity and Applications
published2022 · 10 citations
with Anthony Nguyen
publisher
Stochastic zeroth-order discretizations of Langevin diffusions for Bayesian inference
published2022 · Bernoulli · 2 citations · first circulated 2019
with Abhishek Roy, Lingqing Shen, Saeed Ghadimi
Bernoulli
Fractal Gaussian Networks: A Sparse Random Graph Model Based on Gaussian Multiplicative Chaos
published2022 · IEEE Transactions on Information Theory · first circulated 2020
with Subhroshekhar Ghosh, Xiaochuan Yang
IEEE Transactions on Information Theory
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
published2021 · Neural Information Processing Systems · 4 citations
with Abhishek Roy, Murat A. Erdogdu
Neural Information Processing Systems
On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests
published2021 · Journal of Machine Learning Research · 13 citations · first circulated 2017
with Tong Li, Ming Yuan
Journal of Machine Learning Research
Escaping Saddle-Point Faster under Interpolation-like Conditions
published2020 · Neural Information Processing Systems · 1 citations
with Abhishek Roy, Saeed Ghadimi, Prasant Mohapatra
Neural Information Processing Systems
Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT
published2019 · Conference on Learning Theory · 10 citations
with Andreas Anastasiou, Murat A. Erdogdu
Conference on Learning Theory
Increasing Full Child Immunization Rates by Government Using an Innovative Computerized Immunization Due List in Rural India
published2018 · 16 citations
with Enakshi Ganguly, Rahul Gupta, Alik S. Widge, Rukma Reddy, P.S. Reddy
publisher
Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein’s Lemma
published2017 · Neural Information Processing Systems · 14 citations
with Zhuoran Yang, Zhaoran Wang, Han Liu
no link
High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation
published2017 · International Conference on Machine Learning · 37 citations
with Zhuoran Yang, Han Liu
no link
Discussion of “Estimating structured high-dimensional covariance and precision matrices: Optimal rates and adaptive estimation”
published2016 · Electronic Journal of Statistics · 1 citations
with Ming Yuan, Alexandre B. Tsybakov
Electronic Journal of Statistics
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels
published2010 · Journal of Machine Learning Research · 41 citations
with Pınar Dönmez, Guy Lebanon
no link
10.1016/s0967-0653(98)85471-9
published2000 · Time to knit
Time to knit

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.