| 2025 | AISTATS | Near-Polynomially Competitive Active Logistic Regression. | Yihan Zhou, Eric Price, Trung Nguyen |
| 2024 | FOCS | Spectral Guarantees for Adversarial Streaming PCA. | Eric Price, Zhiyang Xun |
| 2024 | ICALP | Sharp Noisy Binary Search with Monotonic Probabilities. | Lucas Gretta, Eric Price |
| 2024 | ICML | Diffusion Posterior Sampling is Computationally Intractable. | Shivam Gupta, Ajil Jalal, Aditya Parulekar, Eric Price, Zhiyang Xun |
| 2023 | COLT | Finite-Sample Symmetric Mean Estimation with Fisher Information Rate. | Shivam Gupta, Jasper C. H. Lee, Eric Price |
| 2023 | ICML | High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors. | Shivam Gupta, Jasper C. H. Lee, Eric Price |
| 2022 | AISTATS | Coresets for Data Discretization and Sine Wave Fitting. | Alaa Maalouf, Murad Tukan, Eric Price, Daniel M. Kane, Dan Feldman |
| 2022 | COLT | Sharp Constants in Uniformity Testing via the Huber Statistic. | Shivam Gupta, Eric Price |
| 2022 | FOCS | Factorial Lower Bounds for (Almost) Random Order Streams. | Ashish Chiplunkar, John Kallaugher, Michael Kapralov, Eric Price |
| 2022 | ICML | Hardness and Algorithms for Robust and Sparse Optimization. | Eric Price, Sandeep Silwal, Samson Zhou |
| 2022 | ICML | Linear Bandit Algorithms with Sublinear Time Complexity. | Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi |
| 2022 | IROS | Deep Residual Reinforcement Learning based Autonomous Blimp Control. | Yu Tang Liu, Eric Price, Michael J. Black, Aamir Ahmad |
| 2022 | SODA | Simulating Random Walks in Random Streams. | John Kallaugher, Michael Kapralov, Eric Price |
| 2021 | IAS | Simulation and Control of Deformable Autonomous Airships in Turbulent Wind. | Eric Price, Yu Tang Liu, Michael J. Black, Aamir Ahmad |
| 2021 | ICML | Instance-Optimal Compressed Sensing via Posterior Sampling. | Ajil Jalal, Sushrut Karmalkar, Alex Dimakis, Eric Price |
| 2021 | ICML | Fairness for Image Generation with Uncertain Sensitive Attributes. | Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price |
| 2021 | STOC | Near-optimal learning of tree-structured distributions by Chow-Liu. | Arnab Bhattacharyya, Sutanu Gayen, Eric Price, N. V. Vinodchandran |
| 2021 | STOC | Optimal testing of discrete distributions with high probability. | Ilias Diakonikolas, Themis Gouleakis, Daniel M. Kane, John Peebles, Eric Price |
| 2020 | ICML | On the Power of Compressed Sensing with Generative Models. | Akshay Kamath, Eric Price, Sushrut Karmalkar |
| 2020 | STOC | Separations and equivalences between turnstile streaming and linear sketching. | John Kallaugher, Eric Price |
| 2019 | COLT | Active Regression via Linear-Sample Sparsification. | Xue Chen, Eric Price |
| 2019 | ICALP | Estimating the Frequency of a Clustered Signal. | Xue Chen, Eric Price |
| 2019 | ICCV | Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles. | Nitin Saini, Eric Price, Rahul Tallamraju, Raffi Enficiaud, Roman Ludwig, Igor Martinovic, Aamir Ahmad, Michael J. Black |
| 2019 | ICML | Adversarial examples from computational constraints. | Sbastien Bubeck, Yin Tat Lee, Eric Price, Ilya P. Razenshteyn |
| 2019 | PODS | The Complexity of Counting Cycles in the Adjacency List Streaming Model. | John Kallaugher, Andrew McGregor, Eric Price, Sofya Vorotnikova |
| 2019 | SODA | Adaptive Sparse Recovery with Limited Adaptivity. | Akshay Kamath, Eric Price |
| 2019 | SODA | Compressed Sensing with Adversarial Sparse Noise via L1 Regression. | Sushrut Karmalkar, Eric Price |
| 2018 | AISTATS | Stochastic Multi-armed Bandits in Constant Space. | David Liau, Zhao Song, Eric Price, Ger Yang |
| 2018 | FOCS | The Sketching Complexity of Graph and Hypergraph Counting. | John Kallaugher, Michael Kapralov, Eric Price |
| 2018 | ICALP | Sample-Optimal Identity Testing with High Probability. | Ilias Diakonikolas, Themis Gouleakis, John Peebles, Eric Price |
| 2018 | ICLR | AmbientGAN: Generative models from lossy measurements. | Ashish Bora, Eric Price, Alexandros G. Dimakis |
| 2017 | FOCS | Robust Polynomial Regression up to the Information Theoretic Limit. | Daniel Kane, Sushrut Karmalkar, Eric Price |
| 2017 | ICALP | Fast Regression with an $ell_infty$ Guarantee. | Eric Price, Zhao Song, David P. Woodruff |
| 2017 | ICASSP | Fast sparse recovery for any RIP-1 matrix. | Eric Price |
| 2017 | ICML | Compressed Sensing using Generative Models. | Ashish Bora, Ajil Jalal, Eric Price, Alexandros G. Dimakis |
| 2017 | SODA | A Hybrid Sampling Scheme for Triangle Counting. | John Kallaugher, Eric Price |
| 2016 | FOCS | Fourier-Sparse Interpolation without a Frequency Gap. | Xue Chen, Daniel M. Kane, Eric Price, Zhao Song |
| 2015 | AAAI | SCRAM: Scalable Collision-avoiding Role Assignment with Minimal-Makespan for Formational Positioning. | Patrick MacAlpine, Eric Price, Peter Stone |
| 2015 | FOCS | A Robust Sparse Fourier Transform in the Continuous Setting. | Eric Price, Zhao Song |
| 2015 | ICML | Binary Embedding: Fundamental Limits and Fast Algorithm. | Xinyang Yi, Constantine Caramanis, Eric Price |
| 2015 | STOC | Tight Bounds for Learning a Mixture of Two Gaussians. | Moritz Hardt, Eric Price |
| 2014 | ESA | Trace Reconstruction Revisited. | Andrew McGregor, Eric Price, Sofya Vorotnikova |
| 2014 | SODA | (Nearly) Sample-Optimal Sparse Fourier Transform. | Piotr Indyk, Michael Kapralov, Eric Price |
| 2014 | SODA | Improved Concentration Bounds for Count-Sketch. | Gregory T. Minton, Eric Price |
| 2014 | SODA | New constructions of RIP matrices with fast multiplication and fewer rows. | Jelani Nelson, Eric Price, Mary Wootters |
| 2013 | SODA | Lower Bounds for Adaptive Sparse Recovery. | Eric Price, David P. Woodruff |
| 2012 | ISIT | Applications of the Shannon-Hartley theorem to data streams and sparse recovery. | Eric Price, David P. Woodruff |
| 2012 | SODA | Simple and practical algorithm for sparse Fourier transform. | Haitham Hassanieh, Piotr Indyk, Dina Katabi, Eric Price |
| 2012 | STOC | Nearly optimal sparse fourier transform. | Haitham Hassanieh, Piotr Indyk, Dina Katabi, Eric Price |
| 2011 | FOCS | On the Power of Adaptivity in Sparse Recovery. | Piotr Indyk, Eric Price, David P. Woodruff |
| 2011 | FOCS | (1 + eps)-Approximate Sparse Recovery. | Eric Price, David P. Woodruff |
| 2011 | SODA | Efficient Sketches for the Set Query Problem. | Eric Price |
| 2011 | STOC | K-median clustering, model-based compressive sensing, and sparse recovery for earth mover distance. | Piotr Indyk, Eric Price |
| 2010 | SODA | Lower Bounds for Sparse Recovery. | Khanh Do Ba, Piotr Indyk, Eric Price, David P. Woodruff |