Yaniv Romano
27 papers · 2017–2025 · 8 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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πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Champion
(11)
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Triple Crown
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Deep Specialist
(12)
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(105)
Top co-authors
Research topics
Machine Learning
(25)
Optimization & Theory
(19)
Core Methods
(17)
Learning Types
(8)
Deep Learning
(7)
Artificial Intelligence
(6)
Application Areas
(6)
Mathematics & Optimization
(4)
Core AI
(4)
Optimization
(4)
Techniques
(3)
Computer Vision
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Models
(2)
Keywords
conformal prediction
(11)
uncertainty quantification
(7)
quantile regression
(6)
prediction set
(4)
prediction interval
(4)
coverage guarantee
(3)
optimal transport
(2)
adversarial robustness
(2)
conditional coverage
(2)
type-i error control
(2)
randomized smoothing
(2)
distribution shift
(2)
generative model
(2)
conformal inference
(2)
medical imaging
(1)
algorithmic fairness
(1)
sparse representation
(1)
generative modeling
(1)
entropy minimization
(1)
deep learning
(1)
Papers
Conformalized Survival Analysis for General Right-Censored Data
ICLR 2025
Learning a Continue-Thinking Token for Enhanced Test-Time Scaling
IJCNLP 2025
Robust Conformal Outlier Detection under Contaminated Reference Data
ICML 2025
Segment-Based Attention Masking for GPTs
ACL 2025
Early Time Classification with Accumulated Accuracy Gap Control
ICML 2024
Label Noise Robustness of Conformal Prediction
JMLR 2024
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
NeurIPS 2024
Provably Robust Conformal Prediction with Improved Efficiency
ICLR 2024
Robust Conformal Prediction Using Privileged Information
NeurIPS 2024
Calibrated Multiple-Output Quantile Regression with Representation Learning
JMLR 2023
Conformal Prediction with Missing Values
ICML 2023
Derandomized novelty detection with FDR control via conformal e-values
NeurIPS 2023
Fast Nonlinear Vector Quantile Regression
ICLR 2023
Model-X Sequential Testing for Conditional Independence via Testing by Betting
AISTATS 2023
Adversarially Robust Conformal Prediction
ICLR 2022
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
ICML 2022
Coordinated Double Machine Learning
ICML 2022
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
ICML 2022
Semantic uncertainty intervals for disentangled latent spaces
NeurIPS 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
NeurIPS 2022
Conformal Prediction using Conditional Histograms
NeurIPS 2021
Improving Conditional Coverage via Orthogonal Quantile Regression
NeurIPS 2021
Achieving Equalized Odds by Resampling Sensitive Attributes
NeurIPS 2020
Classification with Valid and Adaptive Coverage
NeurIPS 2020
Conformalized Quantile Regression
NeurIPS 2019
Convolutional Dictionary Learning via Local Processing
ICCV 2017
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
JMLR 2017