Eric Price

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 27

Top Topics

Location Estimation

Maximum Likelihood Estimation

Top Venues

Publications

Lucas Gretta, Eric Price
Sharp Noisy Binary Search with Monotonic Probabilities. ICALP (2024)
Shivam Gupta, Ajil Jalal, Aditya Parulekar, Eric Price, Zhiyang Xun
Diffusion Posterior Sampling is Computationally Intractable. CoRR (2024)
Yihan Zhou, Eric Price
A Competitive Algorithm for Agnostic Active Learning. NeurIPS (2023)
Ajil Jalal, Justin Singh Kang, Ananya Uppal, Kannan Ramchandran, Eric Price
Learning a 1-layer conditional generative model in total variation. NeurIPS (2023)
Arnab Bhattacharyya, Sutanu Gayen, Eric Price, Vincent Y. F. Tan, N. V. Vinodchandran
Near-Optimal Learning of Tree-Structured Distributions by Chow and Liu. SIAM J. Comput. 52 (3) (2023)
Shivam Gupta, Jasper C. H. Lee, Eric Price
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors. ICML (2023)
Shivam Gupta, Jasper C. H. Lee, Eric Price
Finite-Sample Symmetric Mean Estimation with Fisher Information Rate. CoRR (2023)
Shivam Gupta, Jasper C. H. Lee, Eric Price
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors. CoRR (2023)
Lucas Gretta, Eric Price
Sharp Noisy Binary Search with Monotonic Probabilities. CoRR (2023)
Shivam Gupta, Samuel B. Hopkins, Eric Price
Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation. CoRR (2023)
Shivam Gupta, Aditya Parulekar, Eric Price, Zhiyang Xun
Sample-Efficient Training for Diffusion. CoRR (2023)
Lucas Gretta, Eric Price
An Improved Online Reduction from PAC Learning to Mistake-Bounded Learning. SOSA (2023)
Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant
Minimax-Optimal Location Estimation. NeurIPS (2023)
Eric Price, Yihan Zhou
A Competitive Algorithm for Agnostic Active Learning. CoRR (2023)
Shivam Gupta, Jasper C. H. Lee, Eric Price
Finite-Sample Symmetric Mean Estimation with Fisher Information Rate. COLT (2023)
Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant
Finite-Sample Maximum Likelihood Estimation of Location. CoRR (2022)
Alaa Maalouf, Murad Tukan, Eric Price, Daniel M. Kane, Dan Feldman
Coresets for Data Discretization and Sine Wave Fitting. AISTATS (2022)
Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant
Finite-Sample Maximum Likelihood Estimation of Location. NeurIPS (2022)
Ashish Chiplunkar, John Kallaugher, Michael Kapralov, Eric Price
Factorial Lower Bounds for (Almost) Random Order Streams. FOCS (2022)
Alaa Maalouf, Murad Tukan, Eric Price, Daniel Kane, Dan Feldman
Coresets for Data Discretization and Sine Wave Fitting. CoRR (2022)
Shivam Gupta, Eric Price
Sharp Constants in Uniformity Testing via the Huber Statistic. COLT (2022)
Eric Price, Sandeep Silwal, Samson Zhou
Hardness and Algorithms for Robust and Sparse Optimization. CoRR (2022)
Eric Price, Sandeep Silwal, Samson Zhou
Hardness and Algorithms for Robust and Sparse Optimization. ICML (2022)
Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi
Linear Bandit Algorithms with Sublinear Time Complexity. ICML (2022)
Shivam Gupta, Eric Price
Sharp Constants in Uniformity Testing via the Huber Statistic. CoRR (2022)
John Kallaugher, Michael Kapralov, Eric Price
Simulating Random Walks in Random Streams. SODA (2022)
Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir
Robust Compressed Sensing MRI with Deep Generative Priors. NeurIPS (2021)
Rishi Gupta, Piotr Indyk, Eric Price
Sparse recovery for Earth Mover Distance. Allerton (2010)