Matteo Sesia
14 papers · 2020–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (29)
π
Keyword Champion
(7)
ποΈ
Keyword Collector
(62)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(6)
Venues
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory
(9)
Core Methods
(7)
Learning Types
(5)
Artificial Intelligence
(3)
Application Areas
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic
(2)
Mathematics
(2)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Robotics
(1)
Applications
(1)
Keywords
conformal inference
(7)
uncertainty quantification
(5)
conformal prediction
(3)
count-min sketch
(2)
statistical learning
(2)
frequency estimation
(2)
confidence interval
(2)
posterior inference
(1)
false discovery rate
(1)
dirichlet process
(1)
quantile regression
(1)
nonparametric regression
(1)
pitman-yor process
(1)
novelty detection
(1)
deep learning
(1)
algorithmic fairness
(1)
labeling budget
(1)
early stopping
(1)
conditional distribution
(1)
stochastic process
(1)
Papers
Doubly Robust Conformalized Survival Analysis with Right-Censored Data
ICML 2025
Robust Conformal Outlier Detection under Contaminated Reference Data
ICML 2025
Conformal Classification with Equalized Coverage for Adaptively Selected Groups
NeurIPS 2024
Conformalized Adaptive Forecasting of Heterogeneous Trajectories
ICML 2024
Random measure priors in Bayesian recovery from sketches
JMLR 2024
Uncertainty in Language Models: Assessment through Rank-Calibration
EMNLP 2024
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries
JMLR 2023
Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping
ICML 2023
Derandomized novelty detection with FDR control via conformal e-values
NeurIPS 2023
Conformal Frequency Estimation with Sketched Data
NeurIPS 2022
Coordinated Double Machine Learning
ICML 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
NeurIPS 2022
Conformal Prediction using Conditional Histograms
NeurIPS 2021
Classification with Valid and Adaptive Coverage
NeurIPS 2020