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7 papers · 2016–2023 · 1 venue · 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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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

NeurIPS (7)

Top co-authors

Ajil Jalal (2) Paul Valiant (2) Shivam Gupta (2) Jasper Lee (2) Jon Tamir (1) Moritz Hardt (1) Alexandros G Dimakis (1) Ilias Diakonikolas (1) Sushrut Karmalkar (1) Daniel Kane (1)

Research topics

Machine Learning (7) Core Methods (5) Optimization & Theory (5) Mathematics & Optimization (3) Learning Types (3) Mathematics (3) Optimization (2) Artificial Intelligence (1) Computer Vision (1) Deep Learning (1) Application Areas (1) Core AI (1) Domain-Specific (1) Models (1)

Keywords

location estimation (2) compressed sensing (1) minimax optimality (1) parameter estimation (1) supervised learning (1) sample complexity (1) binary classification (1) sparse estimation (1) posterior sampling (1) langevin dynamics (1) high-dimensional statistics (1) outlier detection (1) maximum likelihood (1) sparse principal component analysis (1) fisher information (1) agnostic learning (1) statistical estimation (1) sparse pca (1) magnetic resonance imaging (1) active learning (1)

Papers

A Competitive Algorithm for Agnostic Active Learning NeurIPS 2023 Learning a 1-layer conditional generative model in total variation NeurIPS 2023 Minimax-Optimal Location Estimation NeurIPS 2023 Finite-Sample Maximum Likelihood Estimation of Location NeurIPS 2022 Robust Compressed Sensing MRI with Deep Generative Priors NeurIPS 2021 Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering NeurIPS 2019 Equality of Opportunity in Supervised Learning NeurIPS 2016