Eric Price
22 papers · 2014–2025 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(20)
Optimization & Theory
(16)
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(11)
Mathematics & Optimization
(10)
Deep Learning
(7)
Models
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Optimization
(7)
Learning Types
(6)
Mathematics
(5)
Application Areas
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Artificial Intelligence
(3)
Computer Vision
(3)
Computer Science
(2)
Data Science & Analytics
(2)
Applications
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Keywords
generative model
(5)
sample complexity
(4)
regret bound
(3)
posterior sampling
(3)
compressed sensing
(3)
active learning
(2)
image generation
(2)
approximation algorithm
(2)
fisher information
(2)
neural network
(2)
generative adversarial network
(2)
diffusion model
(2)
feature selection
(1)
logistic regression
(1)
principal component analysis
(1)
anomaly detection
(1)
sparse recovery
(1)
online learning
(1)
learning theory
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mean estimation
(1)
Papers
Near-Polynomially Competitive Active Logistic Regression
AISTATS 2025
Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation
COLT 2024
Diffusion Posterior Sampling is Computationally Intractable
ICML 2024
Improved Sample Complexity Bounds for Diffusion Model Training
NeurIPS 2024
Finite-Sample Symmetric Mean Estimation with Fisher Information Rate
COLT 2023
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors
ICML 2023
Coresets for Data Discretization and Sine Wave Fitting
AISTATS 2022
Hardness and Algorithms for Robust and Sparse Optimization
ICML 2022
Linear Bandit Algorithms with Sublinear Time Complexity
ICML 2022
Sharp Constants in Uniformity Testing via the Huber Statistic
COLT 2022
Fairness for Image Generation with Uncertain Sensitive Attributes
ICML 2021
Instance-Optimal Compressed Sensing via Posterior Sampling
ICML 2021
On the Power of Compressed Sensing with Generative Models
ICML 2020
Active Regression via Linear-Sample Sparsification
COLT 2019
Adversarial examples from computational constraints
ICML 2019
Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles
ICCV 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
NeurIPS 2016
Binary Embedding: Fundamental Limits and Fast Algorithm
ICML 2015
The Noisy Power Method: A Meta Algorithm with Applications
NeurIPS 2014