Price, Eric

26 publications

AISTATS 2025 Near-Polynomially Competitive Active Logistic Regression Yihan Zhou, Eric Price, Trung Nguyen

NeurIPS 2025 Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics Zhiyang Xun, Shivam Gupta, Eric Price

COLT 2024 Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation Shivam Gupta, Samuel Hopkins, Eric Price

ICML 2024 Diffusion Posterior Sampling Is Computationally Intractable Shivam Gupta, Ajil Jalal, Aditya Parulekar, Eric Price, Zhiyang Xun

NeurIPS 2024 Improved Sample Complexity Bounds for Diffusion Model Training Shivam Gupta, Aditya Parulekar, Eric Price, Zhiyang Xun

COLT 2023 Finite-Sample Symmetric Mean Estimation with Fisher Information Rate Shivam Gupta, Jasper C. H. Lee, Eric Price

ICML 2023 High-Dimensional Location Estimation via Norm Concentration for Subgamma Vectors Shivam Gupta, Jasper C.H. Lee, Eric Price

AISTATS 2022 Coresets for Data Discretization and Sine Wave Fitting Alaa Maalouf, Murad Tukan, Eric Price, Daniel M. Kane, Dan Feldman

ICML 2022 Hardness and Algorithms for Robust and Sparse Optimization Eric Price, Sandeep Silwal, Samson Zhou

ICML 2022 Linear Bandit Algorithms with Sublinear Time Complexity Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi

COLT 2022 Sharp Constants in Uniformity Testing via the Huber Statistic Shivam Gupta, Eric Price

ICML 2021 Fairness for Image Generation with Uncertain Sensitive Attributes Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price

ICML 2021 Instance-Optimal Compressed Sensing via Posterior Sampling Ajil Jalal, Sushrut Karmalkar, Alex Dimakis, Eric Price

NeurIPSW 2021 Robust Compressed Sensing MR Imaging with Deep Generative Priors Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alex Dimakis, Jonathan Tamir

NeurIPSW 2020 Compressed Sensing with Approximate Priors via Conditional Resampling Ajil Jalal, Sushrut Karmalkar, Alex Dimakis, Eric Price

ICML 2020 On the Power of Compressed Sensing with Generative Models Akshay Kamath, Eric Price, Sushrut Karmalkar

COLT 2019 Active Regression via Linear-Sample Sparsification Xue Chen, Eric Price

ICML 2019 Adversarial Examples from Computational Constraints Sebastien Bubeck, Yin Tat Lee, Eric Price, Ilya Razenshteyn

NeurIPSW 2019 Lower Bounds for Compressed Sensing with Generative Models Akshay Kamath, Sushrut Karmalkar, Eric Price

ICLR 2018 AmbientGAN: Generative Models from Lossy Measurements Ashish Bora, Eric Price, Alexandros G. Dimakis

AISTATS 2018 Stochastic Multi-Armed Bandits in Constant Space David Liau, Zhao Song, Eric Price, Ger Yang

ICML 2017 Compressed Sensing Using Generative Models Ashish Bora, Ajil Jalal, Eric Price, Alexandros G. Dimakis

NeurIPS 2016 Equality of Opportunity in Supervised Learning Moritz Hardt, Eric Price, Ecprice, Nati Srebro

ICML 2015 Binary Embedding: Fundamental Limits and Fast Algorithm Xinyang Yi, Constantine Caramanis, Eric Price

AAAI 2015 SCRAM: Scalable Collision-Avoiding Role Assignment with Minimal-Makespan for Formational Positioning Patrick MacAlpine, Eric Price, Peter Stone

NeurIPS 2014 The Noisy Power Method: A Meta Algorithm with Applications Moritz Hardt, Eric Price