Arian Maleki

11 papers · 2012–2025 · 4 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

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+4 more ↓

🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21)

🏆 Keyword Champion (2) 🧭 Keyword Pioneer 🗃️ Keyword Collector (59) 💎 Century Club · Bronze

Venues

NeurIPS (4) AISTATS (3) ICML (3) JMLR (1)

Top co-authors

Ji Xu (4) Arnab Auddy (3) Haolin Zou (3) Kamiar Rahnama Rad (3) Junjie Ma (2) Wenda Zhou (2) Daniel J. Hsu (2) Christopher Metzler (1) Benjamin Rolfs (1) Yongchan Kwon (1)

Research topics

Machine Learning (11) Optimization & Theory (10) Mathematics & Optimization (7) Optimization (7) Core Methods (5) Application Areas (2) Deep Learning (1) Architectures (1) Bayesian & Probabilistic (1) Learning Paradigms (1) Learning Types (1) Mathematics (1)

Keywords

l1 regularization (2) maximum likelihood (2) penalized regression (2) expectation maximization (2) cross validation (2) non-convex optimization (2) signal recovery (2) phase retrieval (2) high-dimensional regression (2) convergence analysis (1) asymptotic analysis (1) parameter estimation (1) high-dimensional statistics (1) expectation propagation (1) statistical modeling (1) sparse inverse covariance (1) signal-to-noise ratio (1) machine unlearning (1) regularization parameter (1) approximate message passing (1)

Papers

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 Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise ICML 2024 Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model NeurIPS 2021 Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions AISTATS 2020 Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions ICML 2018 Approximate message passing for amplitude based optimization ICML 2018 Benefits of over-parameterization with EM NeurIPS 2018 Global Analysis of Expectation Maximization for Mixtures of Two Gaussians NeurIPS 2016 Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NeurIPS 2012