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Eric Price

22 papers · 2014–2025 · 6 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (11) πŸ—ΊοΈ Taxonomy Completionist (14) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) πŸ—ƒοΈ Keyword Collector (101) πŸ“ˆ Trend Setter πŸ’Ž Century Club (22) πŸ”₯ Unstoppable (12) πŸš€ Conference Pioneer

Conferences

ICML (10) COLT (4) AISTATS (3) NIPS (3) ICCV (1) ICLR (1)

Top co-authors

Shivam Gupta (6) Ajil Jalal (4) Sushrut Karmalkar (3) Alex Dimakis (2) Ashish Bora (2) Moritz Hardt (2) Aditya Parulekar (2) Zhiyang Xun (2) Alexandros G. Dimakis (2) Aamir Ahmad (1)

Research topics

Differential Privacy (1)

Keywords

generative model (5) compressed sensing (3) neural network (2) approximation algorithm (2) sample complexity (2) regret bound (2) posterior sampling (2) feature selection (1) sparse recovery (1) active learning (1) anomaly detection (1) principal component analysis (1) online learning (1) supervised learning (1) image generation (1) learning theory (1) mean estimation (1) neural network training (1) computational complexity (1) robust statistics (1)

Papers

Near-Polynomially Competitive Active Logistic Regression AISTATS 2025
Improved Sample Complexity Bounds for Diffusion Model Training NIPS 2024
Diffusion Posterior Sampling is Computationally Intractable ICML 2024
Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation COLT 2024
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors ICML 2023
Finite-Sample Symmetric Mean Estimation with Fisher Information Rate COLT 2023
Coresets for Data Discretization and Sine Wave Fitting AISTATS 2022
Hardness and Algorithms for Robust and Sparse Optimization ICML 2022
Sharp Constants in Uniformity Testing via the Huber Statistic COLT 2022
Linear Bandit Algorithms with Sublinear Time Complexity ICML 2022
Instance-Optimal Compressed Sensing via Posterior Sampling ICML 2021
Fairness for Image Generation with Uncertain Sensitive Attributes ICML 2021
On the Power of Compressed Sensing with Generative Models ICML 2020
Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles ICCV 2019
Active Regression via Linear-Sample Sparsification COLT 2019
Adversarial examples from computational constraints ICML 2019
AmbientGAN: Generative models from lossy measurements ICLR 2018
Stochastic Multi-armed Bandits in Constant Space AISTATS 2018
Compressed Sensing using Generative Models ICML 2017
Equality of Opportunity in Supervised Learning NIPS 2016
Binary Embedding: Fundamental Limits and Fast Algorithm ICML 2015
The Noisy Power Method: A Meta Algorithm with Applications NIPS 2014