Arnab Auddy

15 papers A 2Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Gromov-Wasserstein Distance Between Spheres.
Found. Comput. Math.
Shreya Arya, Arnab Auddy, Ranthony A. Clark, Sunhyuk Lim, Facundo Mémoli, Daniel Packer
2025 J jnl
Certified Data Removal Under High-dimensional Settings.
CoRR
Haolin Zou, Arnab Auddy, Yongchan Kwon, Kamiar Rahnama Rad, Arian Maleki
2025 J jnl
Certified Machine Unlearning Under High Dimensional Regime.
J. Mach. Learn. Res.
Haolin Zou, Arnab Auddy, Yongchan Kwon, Kamiar Rahnama Rad, Arian Maleki
2025 J jnl
Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach.
CoRR
Aaradhya Pandey, Arnab Auddy, Haolin Zou, Arian Maleki, Sanjeev Kulkarni
2025 J jnl
Newfluence: Boosting Model interpretability and Understanding in High Dimensions.
CoRR
Haolin Zou, Arnab Auddy, Yongchan Kwon, Kamiar Rahnama Rad, Arian Maleki
2025 J jnl
On Spectral Learning for Odeco Tensors: Perturbation, Initialization, and Algorithms.
CoRR
Arnab Auddy, Ming Yuan
2025 A conf
Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings.
AISTATS
Haolin Zou, Arnab Auddy, Kamiar Rahnama Rad, Arian Maleki
2025 J jnl
Transfer learning via Regularized Linear Discriminant Analysis.
CoRR
Hongzhe Zhang, Arnab Auddy, Hongzhe Lee
2024 J jnl
Approximate Leave-One-Out Cross Validation for Regression With ℓ₁ Regularizers.
IEEE Trans. Inf. Theory
Arnab Auddy, Haolin Zou, Kamiar Rahnama Rad, Arian Maleki
2024 A conf
Approximate Leave-one-out Cross Validation for Regression with ℓ
AISTATS
Arnab Auddy, Haolin Zou, Kamiar Rahnama Rad, Arian Maleki
2024 J jnl
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges.
CoRR
Arnab Auddy, Dong Xia, Ming Yuan
2022 J jnl
On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors.
IEEE Trans. Inf. Theory
Arnab Auddy, Ming Yuan
2021 J jnl
On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors.
CoRR
Arnab Auddy, Ming Yuan
2020 J jnl
Perturbation Bounds for Orthogonally Decomposable Tensors and Their Applications in High Dimensional Data Analysis.
CoRR
Arnab Auddy, Ming Yuan
2019 J jnl
Approximate lumpability for Markovian agent-based models using local symmetries.
J. Appl. Probab.
Wasiur R. KhudaBukhsh, Arnab Auddy, Yann Disser, Heinz Koeppl