Publications and Preprints

• Inference in high-dimensional logistic regression under tensor network dependence
  (with Josh Miles)
  Submitted.
  [ArXiv] 

• Causal inference under interference: computational barriers and algorithmic solutions.
  (with Subhabrata Sen)
  Submitted.
  [ArXiv] 

• Precise asymptotics of fine-tuned estimators for transfer learning under overparametrization.
  (with Debarghya Mukherjee)
  Submitted.

• Discussion of 'Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models' by Choi & Yuan
  (with Bikram Karmakar)
  Journal of the American Statistical Association, to appear.

• Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression.
  (with Anvit Garg, Pragya Sur)
  ICLR, 2026.
  [ArXiv] [Conference] 

• Late fusion Multi-task Learning for Semiparametric Inference with Nuisance Parameters.
  (with Yongzhuo Chen, Muxuan Liang)
  Journal of the American Statistical Association, major revision requested.
  [ArXiv] 

• Gibbs Measures with multilinear forms.
  (with Nabarun Deb, Sumit Mukherjee)
  Annals of Applied Probability, to appear.
  [ArXiv] 

• Generalization error of min-norm interpolators in transfer learning.
  (with Yanke Song, Pragya Sur)
  Annals of Statistics, reject & resubmit.
  [ArXiv] 

• Causal effect estimation under network interference with mean-field methods.
  (with Subhabrata Sen)
  Annals of Statistics.
  [ArXiv] [Journal] 

• Nonsense associations in Markov random fields with pairwise dependence.
  (with Rajarshi Mukherjee, Elizabeth Ogburn)
  Biometrika.
  [ArXiv] [Journal] 

• Deep Neural Networks For Nonparametric Interaction Models With Diverging Dimension.
  (with Jianqing Fan, Debarghya Mukherjee)
  Annals of Statistics.
  [Arxiv] [Journal]   

• Inferences on Mixing-probabilities and ranking inferences in Mixed-membership models.
  (with Jianqing Fan, Jikai Hou)
  Journal of the American Statistical Association, minor revision requested.
  [Arxiv] 

• Large Deviation Principle for Inhomogeneous U-statistics.
  (with Nabarun Deb, Sumit Mukherjee)
  Annals of Applied Probability.
  [ArXiv] [Journal] 

• PC adjusted testing for low dimensional parameters.
  (with Rounak Dey, Rajarshi Mukherjee)
  Submitted.
  [ArXiv] 

• Sharp signal detection under ferromagnetic Ising models.
  (with Rajarshi Mukherjee, Gourab Ray)
  IEEE Transactions on Information Theory.
  [ArXiv] [Journal] 

• Matrix completion with data-dependent missingness probabilities.
  (with Sourav Chatterjee)
  IEEE Transactions on Information Theory.
  [ArXiv] [Journal] 

• Spectral edge in sparse random graphs: upper and lower tail large deviations.
  (with Bhaswar B. Bhattacharya, Shirshendu Ganguly)
  Annals of Probability.
  [ArXiv] [Journal] 

• Upper tail for homomorphism counts in constrained sparse random graphs
  (with Amir Dembo)
  Random Structures & Algorithms.
  [ArXiv] [Journal] 

• Tight clustering for large datasets with an application to Microarray Data
  (with Sarmistha Das, Bikram Karmakar, Indranil Mukhopadhyay, Rohan Sarkar)
  Nature, Scientific Reports.
  [Journal]