Eric Price
22 papers · 2014–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Conference Polyglot (6)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(6)
ποΈ
Keyword Collector
(101)
π
Trend Setter
π
Century Club
(22)
π₯
Unstoppable
(12)
π
Conference Pioneer
Conferences
ICML (10)
COLT (4)
AISTATS (3)
NIPS (3)
ICCV (1)
ICLR (1)
Top co-authors
Research topics
Keywords
generative model
(5)
compressed sensing
(3)
neural network
(2)
approximation algorithm
(2)
sample complexity
(2)
regret bound
(2)
posterior sampling
(2)
feature selection
(1)
sparse recovery
(1)
active learning
(1)
anomaly detection
(1)
principal component analysis
(1)
online learning
(1)
supervised learning
(1)
image generation
(1)
learning theory
(1)
mean estimation
(1)
neural network training
(1)
computational complexity
(1)
robust statistics
(1)
Papers
Near-Polynomially Competitive Active Logistic Regression
AISTATS 2025
Improved Sample Complexity Bounds for Diffusion Model Training
NIPS 2024
Diffusion Posterior Sampling is Computationally Intractable
ICML 2024
Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation
COLT 2024
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors
ICML 2023
Finite-Sample Symmetric Mean Estimation with Fisher Information Rate
COLT 2023
Coresets for Data Discretization and Sine Wave Fitting
AISTATS 2022
Hardness and Algorithms for Robust and Sparse Optimization
ICML 2022
Sharp Constants in Uniformity Testing via the Huber Statistic
COLT 2022
Linear Bandit Algorithms with Sublinear Time Complexity
ICML 2022
Instance-Optimal Compressed Sensing via Posterior Sampling
ICML 2021
Fairness for Image Generation with Uncertain Sensitive Attributes
ICML 2021
On the Power of Compressed Sensing with Generative Models
ICML 2020
Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles
ICCV 2019
Active Regression via Linear-Sample Sparsification
COLT 2019
Adversarial examples from computational constraints
ICML 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
NIPS 2016
Binary Embedding: Fundamental Limits and Fast Algorithm
ICML 2015
The Noisy Power Method: A Meta Algorithm with Applications
NIPS 2014