Transfer and Federated Learning
Differential Privacy and Machine Unlearning
Tensors
Statistical and Computational Tradeoffs
Spectral Methods in High Dimensional Statistics
Pandey, A., Auddy, A., Zou, H., Maleki, A., Kulkarni, S. (2025+) Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach Submitted.
Auddy, A. and Yuan, M. (2025+) On Spectral Learning for Odeco Tensors: Perturbation, Initialization, and Algorithms Submitted.
Zou, H., Auddy, A., Kwon, Y., Rahnama Rad, K. and Maleki, A. (2025) Newfluence: Boosting model interpretability and understanding in high dimensions ICML Workshop, 2025.
Zou, H., Auddy, A., Kwon, Y., Rahnama Rad, K. and Maleki, A. (2025+) Certified Data Removal Under High-dimensional Settings J. Mach. Learn. Res., accepted with minor revision.
Zhang, H., Auddy, A., and Li, H. (2025+) Transfer learning via Regularized Linear Discriminant Analysis J. Mach. Learn. Res., revision requested.
Auddy, A., Cai, T. Tony and Chakraborty, A. (2024+) Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints. J. R. Stat. Soc. Series B. Stat. Methodol., accepted.
Auddy, A., Xia, D. and Yuan, M. (2024) Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges. Annu. Rev. Stat. Appl., 2024.
Auddy, A., Cai, T. Tony and Li, H. (2024+) Regressing Multivariate Gaussian Distribution on Vector Covariates for Co-expression Network Analysis. Submitted.
Zou, H., Auddy, A., Rahnama Rad, K. and Maleki, A. (2024+) Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings AISTATS, 2025.
Auddy, A., Zou, H., Rahnama Rad, K. and Maleki, A. (2024) Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ Regularizers IEEE Trans. Info. Theory, 2024. Shorter version accepted as oral presentation in AISTATS 2024.
Arya S., Auddy, A. et al. (2024) The Gromov-Wasserstein distance between spheres Found. Comput. Math., 2024.
Auddy, A. and Yuan, M. (2023) Large Dimensional Independent Component Analysis: Statistical Optimality and Computational Tractability Annals of Statistics, 2025.
Auddy, A. and Yuan, M. (2021) On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors IEEE Trans. Info. Theory, 2022.
Auddy, A. , Deb, N. and Nandy, S. (2021) Exact Detection Thresholds for Chatterjee’s Correlation Bernoulli, 2024.
Bhattacharyya, R. et al.(2021) Role of Multi-resolution Vulnerability Indices in COVID-19 spread: A Case Study in India . BMJ Open, 2022.
Auddy, A. and Yuan, M. (2020) Perturbation Bounds for (Nearly) Orthogonally Decomposable Tensors with Statistical Applications. Information and Inference: A Journal of the IMA, 2022.
Khudabukhsh, W., Auddy, A., Disser, Y. and Koeppl, H. (2018) Approximate lumpability for Markovian agent-based models using local symmetries. Journal of Applied Probability, 2019.