Eric Price

ORCID

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 74

Top Venues

Publications

Nitin Saini, Elia Bonetto, Eric Price, Aamir Ahmad, Michael J. Black
AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation. CoRR (2022)
Ajil Jalal, Sushrut Karmalkar, Alexandros G. Dimakis, Eric Price
Instance-Optimal Compressed Sensing via Posterior Sampling. CoRR (2021)
Eric Price, Jonathan Scarlett, Nelvin Tan
Fast Splitting Algorithms for Sparsity-Constrained and Noisy Group Testing. CoRR (2021)
Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane, John Peebles, Eric Price
Optimal testing of discrete distributions with high probability. STOC (2021)
John Kallaugher, Michael Kapralov, Eric Price
Simulating Random Walks in Random Streams. CoRR (2021)
Aditya Parulekar, Advait Parulekar, Eric Price
L1 Regression with Lewis Weights Subsampling. CoRR (2021)
Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price
Fairness for Image Generation with Uncertain Sensitive Attributes. ICML (2021)
Yu Tang Liu, Eric Price, Pascal Goldschmid, Michael J. Black, Aamir Ahmad
Autonomous Blimp Control using Deep Reinforcement Learning. CoRR (2021)
Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi
Linear Bandit Algorithms with Sublinear Time Complexity. CoRR (2021)
Ajil Jalal, Sushrut Karmalkar, Alex Dimakis, Eric Price
Instance-Optimal Compressed Sensing via Posterior Sampling. ICML (2021)
Ashish Chiplunkar, John Kallaugher, Michael Kapralov, Eric Price
Approximating Local Graph Structure in Almost Random Order Streams. CoRR (2021)
Akshay Kamath, Eric Price, David P. Woodruff
A Simple Proof of a New Set Disjointness with Applications to Data Streams. Computational Complexity Conference (2021)
Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir
Robust Compressed Sensing MRI with Deep Generative Priors. CoRR (2021)
Aditya Parulekar, Advait Parulekar, Eric Price
L1 Regression with Lewis Weights Subsampling. APPROX-RANDOM (2021)
Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alexandros G. Dimakis, Eric Price
Fairness for Image Generation with Uncertain Sensitive Attributes. CoRR (2021)
Akshay Kamath, Eric Price, David P. Woodruff
A Simple Proof of a New Set Disjointness with Applications to Data Streams. CoRR (2021)
Arnab Bhattacharyya, Sutanu Gayen, Eric Price, N. V. Vinodchandran
Near-optimal learning of tree-structured distributions by Chow-Liu. STOC (2021)
John Kallaugher, Eric Price
Separations and equivalences between turnstile streaming and linear sketching. STOC (2020)
Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane, John Peebles, Eric Price
Optimal Testing of Discrete Distributions with High Probability. CoRR (2020)
Eric Price, Jonathan Scarlett
A Fast Binary Splitting Approach to Non-Adaptive Group Testing. CoRR (2020)
Eric Price, Jonathan Scarlett
A Fast Binary Splitting Approach to Non-Adaptive Group Testing. APPROX-RANDOM (2020)
Akshay Kamath, Eric Price, Sushrut Karmalkar
On the Power of Compressed Sensing with Generative Models. ICML (2020)
Eric Price, Yu Tang Liu, Michael J. Black, Aamir Ahmad
Simulation and Control of Deformable Autonomous Airships in Turbulent Wind. CoRR (2020)
Ilias Diakonikolas, Themis Gouleakis, Daniel Kane, John Peebles, Eric Price
Optimal Testing of Discrete Distributions with High Probability. Electron. Colloquium Comput. Complex. 27 (2020)
Arnab Bhattacharyya, Sutanu Gayen, Eric Price, N. V. Vinodchandran
Near-Optimal Learning of Tree-Structured Distributions by Chow-Liu. CoRR (2020)
Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price
Collision-Based Testers are Optimal for Uniformity and Closeness. Chic. J. Theor. Comput. Sci. 2019 (2019)
Sébastien Bubeck, Yin Tat Lee, Eric Price, Ilya P. Razenshteyn
Adversarial examples from computational constraints. ICML (2019)
Sushrut Karmalkar, Eric Price
Compressed Sensing with Adversarial Sparse Noise via L1 Regression. SOSA (2019)
Xue Chen, Eric Price
Active Regression via Linear-Sample Sparsification. COLT (2019)
Akshay Kamath, Eric Price
Adaptive Sparse Recovery with Limited Adaptivity. SODA (2019)
Akshay Kamath, Sushrut Karmalkar, Eric Price
Lower Bounds for Compressed Sensing with Generative Models. CoRR (2019)
Nitin Saini, Eric Price, Rahul Tallamraju, Raffi Enficiaud, Roman Ludwig, Igor Martinovic, Aamir Ahmad, Michael J. Black
Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles. ICCV (2019)
Xue Chen, Eric Price
Estimating the Frequency of a Clustered Signal. ICALP (2019)
Xue Chen, Eric Price
Estimating the Frequency of a Clustered Signal. CoRR (2019)
John Kallaugher, Andrew McGregor, Eric Price, Sofya Vorotnikova
The Complexity of Counting Cycles in the Adjacency List Streaming Model. PODS (2019)
Rahul Tallamraju, Eric Price, Roman Ludwig, Kamalakar Karlapalem, Heinrich H. Bülthoff, Michael J. Black, Aamir Ahmad
Active Perception based Formation Control for Multiple Aerial Vehicles. CoRR (2019)
John Kallaugher, Eric Price
Exponential Separations Between Turnstile Streaming and Linear Sketching. CoRR (2019)
Ilias Diakonikolas, Sushrut Karmalkar, Daniel Kane, Eric Price, Alistair Stewart
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering. CoRR (2019)
Rahul Tallamraju, Eric Price, Roman Ludwig, Kamalakar Karlapalem, Heinrich H. Bülthoff, Michael J. Black, Aamir Ahmad
Active Perception Based Formation Control for Multiple Aerial Vehicles. IEEE Robotics Autom. Lett. 4 (4) (2019)
Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Eric Price, Alistair Stewart
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering. NeurIPS (2019)
David Liau, Zhao Song, Eric Price, Ger Yang
Stochastic Multi-armed Bandits in Constant Space. AISTATS (2018)
Eric Price, Guilherme Lawless, Heinrich H. Bülthoff, Michael J. Black, Aamir Ahmad
Deep Neural Network-based Cooperative Visual Tracking through Multiple Micro Aerial Vehicles. CoRR (2018)
Ashish Bora, Eric Price, Alexandros G. Dimakis
AmbientGAN: Generative models from lossy measurements. ICLR (2018)
Sébastien Bubeck, Yin Tat Lee, Eric Price, Ilya P. Razenshteyn
Adversarial Examples from Cryptographic Pseudo-Random Generators. CoRR (2018)
Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price
Sample-Optimal Identity Testing with High Probability. ICALP (2018)
John Kallaugher, Michael Kapralov, Eric Price
The Sketching Complexity of Graph and Hypergraph Counting. CoRR (2018)
David Van Veen, Ajil Jalal, Eric Price, Sriram Vishwanath, Alexandros G. Dimakis
Compressed Sensing with Deep Image Prior and Learned Regularization. CoRR (2018)
Alexandr Andoni, Lior Kamma, Robert Krauthgamer, Eric Price
Batch Sparse Recovery, or How to Leverage the Average Sparsity. CoRR (2018)
Eric Price, Guilherme Lawless, Roman Ludwig, Igor Martinovic, Heinrich H. Bülthoff, Michael J. Black, Aamir Ahmad
Deep Neural Network-Based Cooperative Visual Tracking Through Multiple Micro Aerial Vehicles. IEEE Robotics Autom. Lett. 3 (4) (2018)
John Kallaugher, Michael Kapralov, Eric Price
The Sketching Complexity of Graph and Hypergraph Counting. FOCS (2018)
Sushrut Karmalkar, Eric Price
Compressed Sensing with Adversarial Sparse Noise via L1 Regression. CoRR (2018)
Sébastien Bubeck, Eric Price, Ilya P. Razenshteyn
Adversarial examples from computational constraints. CoRR (2018)
Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price
Sample-Optimal Identity Testing with High Probability. Electron. Colloquium Comput. Complex. 24 (2017)
Eric Price, Zhao Song, David P. Woodruff
Fast Regression with an $ell_infty$ Guarantee. ICALP (2017)
Eric Price
Fast sparse recovery for any RIP-1 matrix. ICASSP (2017)
David Liau, Eric Price, Zhao Song, Ger Yang
Stochastic Multi-armed Bandits in Constant Space. CoRR (2017)
John Kallaugher, Eric Price
A Hybrid Sampling Scheme for Triangle Counting. SODA (2017)
Ashish Bora, Ajil Jalal, Eric Price, Alexandros G. Dimakis
Compressed Sensing using Generative Models. ICML (2017)
Xue Chen, Eric Price
Condition number-free query and active learning of linear families. CoRR (2017)
Eric Price, Zhao Song, David P. Woodruff
Fast Regression with an $\ell_\infty$ Guarantee. CoRR (2017)
Daniel Kane, Sushrut Karmalkar, Eric Price
Robust Polynomial Regression up to the Information Theoretic Limit. FOCS (2017)
Cody R. Freitag, Eric Price, William J. Swartworth
Testing Hereditary Properties of Sequences. APPROX-RANDOM (2017)
Ashish Bora, Ajil Jalal, Eric Price, Alexandros G. Dimakis
Compressed Sensing using Generative Models. CoRR (2017)
Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price
Sample-Optimal Identity Testing with High Probability. CoRR (2017)
Daniel M. Kane, Sushrut Karmalkar, Eric Price
Robust polynomial regression up to the information theoretic limit. CoRR (2017)
Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price
Collision-based Testers are Optimal for Uniformity and Closeness. Electron. Colloquium Comput. Complex. 23 (2016)
Moritz Hardt, Eric Price, Nathan Srebro
Equality of Opportunity in Supervised Learning. CoRR (2016)
Eric Price, Zhao Song
A Robust Sparse Fourier Transform in the Continuous Setting. CoRR (2016)
Xue Chen, Daniel M. Kane, Eric Price, Zhao Song
Fourier-Sparse Interpolation without a Frequency Gap. FOCS (2016)
Moritz Hardt, Eric Price, Nati Srebro
Equality of Opportunity in Supervised Learning. NIPS (2016)
Xue Chen, Daniel M. Kane, Eric Price, Zhao Song
Fourier-sparse interpolation without a frequency gap. CoRR (2016)
Eric Price, Wojciech Zaremba, Ilya Sutskever
Extensions and Limitations of the Neural GPU. CoRR (2016)
Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price
Collision-based Testers are Optimal for Uniformity and Closeness. CoRR (2016)
John Kallaugher, Eric Price
Improved graph sampling for triangle counting. CoRR (2016)
Xinyang Yi, Constantine Caramanis, Eric Price
Binary Embedding: Fundamental Limits and Fast Algorithm. CoRR (2015)
Arturs Backurs, Piotr Indyk, Eric Price, Ilya P. Razenshteyn, David P. Woodruff
Nearly-optimal bounds for sparse recovery in generic norms, with applications to $k$-median sketching. CoRR (2015)
Eric Price, Zhao Song
A Robust Sparse Fourier Transform in the Continuous Setting. FOCS (2015)
Patrick MacAlpine, Eric Price, Peter Stone
SCRAM: Scalable Collision-avoiding Role Assignment with Minimal-Makespan for Formational Positioning. AAAI (2015)
Xinyang Yi, Constantine Caramanis, Eric Price
Binary Embedding: Fundamental Limits and Fast Algorithm. ICML (2015)
Moritz Hardt, Eric Price
Tight Bounds for Learning a Mixture of Two Gaussians. STOC (2015)
Moritz Hardt, Eric Price
The Noisy Power Method: A Meta Algorithm with Applications. NIPS (2014)
Piotr Indyk, Michael Kapralov, Eric Price
(Nearly) Sample-Optimal Sparse Fourier Transform. SODA (2014)
Andrew McGregor, Eric Price, Sofya Vorotnikova
Trace Reconstruction Revisited. ESA (2014)
Jelani Nelson, Eric Price, Mary Wootters
New constructions of RIP matrices with fast multiplication and fewer rows. SODA (2014)
Moritz Hardt, Eric Price
Sharp bounds for learning a mixture of two gaussians. CoRR (2014)
Gregory T. Minton, Eric Price
Improved Concentration Bounds for Count-Sketch. SODA (2014)
Eric Price
Optimal Lower Bound for Itemset Frequency Indicator Sketches. CoRR (2014)
Patrick MacAlpine, Eric Price, Peter Stone
SCRAM: scalable collision-avoiding role assignment with minimal-makespan for formational positioning. AAMAS (2014)
Eric Price, David P. Woodruff
Lower Bounds for Adaptive Sparse Recovery. SODA (2013)
Badih Ghazi, Haitham Hassanieh, Piotr Indyk, Dina Katabi, Eric Price, Lixin Shi
Sample-Optimal Average-Case Sparse Fourier Transform in Two Dimensions CoRR (2013)
Badih Ghazi, Haitham Hassanieh, Piotr Indyk, Dina Katabi, Eric Price, Lixin Shi
Sample-optimal average-case sparse Fourier Transform in two dimensions. Allerton (2013)
Rishi Gupta, Piotr Indyk, Eric Price, Yaron Rachlin
Compressive Sensing with Local Geometric Features. Int. J. Comput. Geom. Appl. 22 (4) (2012)
Rishi Gupta, Piotr Indyk, Eric Price, Yaron Rachlin
Compressive Sensing with Local Geometric Features CoRR (2012)
Gregory T. Minton, Eric Price
Improved Concentration Bounds for Count-Sketch CoRR (2012)
Eric Price, David P. Woodruff
Lower Bounds for Adaptive Sparse Recovery CoRR (2012)
Haitham Hassanieh, Piotr Indyk, Dina Katabi, Eric Price
Nearly optimal sparse fourier transform. STOC (2012)
Haitham Hassanieh, Piotr Indyk, Dina Katabi, Eric Price
Simple and practical algorithm for sparse Fourier transform. SODA (2012)
Haitham Hassanieh, Piotr Indyk, Dina Katabi, Eric Price
Nearly Optimal Sparse Fourier Transform CoRR (2012)
Eric Price, David P. Woodruff
Applications of the Shannon-Hartley theorem to data streams and sparse recovery. ISIT (2012)
Jelani Nelson, Eric Price, Mary Wootters
New constructions of RIP matrices with fast multiplication and fewer rows CoRR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Eric Price