Arnab Auddy

4 papers · 2024–2026 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13)

Venues

AISTATS (2) JMLR (2)

Top co-authors

Arian Maleki (3) Haolin Zou (3) Kamiar Rahnama Rad (2) Kamiar Rahnamarad (1) Hongzhe Zhang (1) Yongchan Kwon (1) Hongzhe Li (1)

Research topics

Machine Learning (4) Optimization & Theory (4) Application Areas (2) Core Methods (2) Artificial Intelligence (1) Deep Learning (1) Mathematics & Optimization (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1) Optimization (1)

Keywords

model selection (1) transfer learning (1) machine unlearning (1) high-dimensional statistics (1) cross validation (1) l1 regularization (1) linear discriminant analysis (1) signal-to-noise ratio (1) generalized lasso (1) hyperparameter tuning (1) risk estimation (1) nuclear norm (1) random matrix theory (1) high-dimensional regime (1) high-dimensional classification (1) newton step (1) leave-one-out cross-validation (1) ridge estimation (1) laplacian noise (1) certified unlearning (1)

Papers

Transfer Learning via Regularized Random-effects Linear Discriminant Analysis JMLR 2026 Certified Machine Unlearning Under High Dimensional Regime JMLR 2025 Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings AISTATS 2025 Approximate Leave-one-out Cross Validation for Regression with ℓ_1 Regularizers AISTATS 2024