A. Feder Cooper
11 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Cross-Pollinator (13) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17) π Conference Polyglot (7)
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Academic Marathon
(5)
π£
Hot Topic Early Bird
π
Grand Slam
π₯
Mega-Team
(20)
π
Century Club
(11)
Conferences
ICML (3)
NIPS (3)
AAAI (1)
AISTATS (1)
CVPR (1)
ICLR (1)
NAACL (1)
Top co-authors
Keywords
markov chain monte carlo
(2)
binary classification
(1)
transfer learning
(1)
ensemble learning
(1)
bayesian inference
(1)
model evaluation
(1)
text-to-image generation
(1)
bayesian sampling
(1)
fair classification
(1)
bias correction
(1)
distributed training
(1)
random search
(1)
asymptotic optimality
(1)
diffusion model
(1)
convergence rate
(1)
ensemble method
(1)
fairness metric
(1)
language model
(1)
bayesian neural network
(1)
training datum
(1)
Papers
Measuring memorization in language models via probabilistic extraction
NAACL 2025
Scalable Extraction of Training Data from Aligned, Production Language Models
ICLR 2025
Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge
ICML 2025
CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images
CVPR 2024
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
AAAI 2024
Stealing part of a production language model
ICML 2024
Position: Standardization of Behavioral Use Clauses is Necessary for the Adoption of Responsible Licensing of AI
ICML 2024
Coordinating Distributed Example Orders for Provably Accelerated Training
NIPS 2023
Hyperparameter Optimization Is Deceiving Us, and How to Stop It
NIPS 2021
Asymptotically Optimal Exact Minibatch Metropolis-Hastings
NIPS 2020
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC
AISTATS 2020