Emmanuel Candes
14 papers · 2014–2025 · 5 venues · across top CS/AI venues
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Achievements
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๐บ๏ธ Taxonomy Completionist (39) ๐ Academic Marathon ยท Half ๐ Conference Polyglot ยท Silver ๐ Interdisciplinary Bridge ยท Bronze ๐ฃ Hot Topic Early Bird
๐งญ
Keyword Pioneer
๐๏ธ
Keyword Collector
(79)
๐
Trend Setter
๐
Century Club ยท Bronze
โ
The Questioner
๐
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(10)
Artificial Intelligence
(6)
Learning Types
(6)
Core AI
(4)
Core Methods
(4)
Mathematics & Optimization
(3)
Application Areas
(3)
Mathematics
(3)
Deep Learning
(2)
Optimization
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Applications
(1)
Keywords
conformal prediction
(4)
prediction set
(3)
uncertainty quantification
(3)
distribution shift
(2)
prediction interval
(2)
conformal inference
(2)
domain adaptation
(1)
non-convex optimization
(1)
statistical inference
(1)
continued pretraining
(1)
covariate shift
(1)
hypothesis testing
(1)
quantile regression
(1)
gradient descent
(1)
strong convexity
(1)
fairness testing
(1)
variance reduction
(1)
statistical estimation
(1)
time series forecasting
(1)
convex optimization
(1)
Papers
Automated Hypothesis Validation with Agentic Sequential Falsifications
ICML 2025
Can Unconfident LLM Annotations Be Used for Confident Conclusions?
NAACL 2025
s1: Simple test-time scaling
EMNLP 2025
Synthetic continued pretraining
ICLR 2025
Active Statistical Inference
ICML 2024
Conformal PID Control for Time Series Prediction
NeurIPS 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
NeurIPS 2023
Adaptive Conformal Inference Under Distribution Shift
NeurIPS 2021
Achieving Equalized Odds by Resampling Sensitive Attributes
NeurIPS 2020
Classification with Valid and Adaptive Coverage
NeurIPS 2020
Conformalized Quantile Regression
NeurIPS 2019
Conformal Prediction Under Covariate Shift
NeurIPS 2019
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
NeurIPS 2015
A Differential Equation for Modeling Nesterovโs Accelerated Gradient Method: Theory and Insights
NeurIPS 2014