Yaniv Romano
28 papers · 2017–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (14)
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(8)
🌈
Renaissance Researcher
(7)
👑
Triple Crown
🔬
Deep Specialist
(11)
🏆
Keyword Champion
(6)
💎
Century Club
(28)
⚡
Prolific Year
(5)
🔥
Unstoppable
(7)
🗃️
Keyword Collector
(87)
Conferences
NIPS (10)
ICML (6)
ICLR (4)
JMLR (3)
AACL (1)
ACL (1)
AISTATS (1)
ICCV (1)
IJCNLP (1)
Top co-authors
Keywords
conformal prediction
(7)
quantile regression
(6)
uncertainty quantification
(6)
prediction interval
(4)
distribution shift
(2)
test-time scaling
(2)
prediction set
(2)
generative model
(2)
conditional coverage
(2)
coverage guarantee
(2)
conformal inference
(2)
reinforcement learning
(2)
attention mechanism
(1)
medical imaging
(1)
false discovery rate
(1)
optimal transport
(1)
algorithmic fairness
(1)
generative modeling
(1)
sparse representation
(1)
image super-resolution
(1)
Papers
Learning a Continue-Thinking Token for Enhanced Test-Time Scaling
IJCNLP 2025
Segment-Based Attention Masking for GPTs
ACL 2025
Conformalized Survival Analysis for General Right-Censored Data
ICLR 2025
Robust Conformal Outlier Detection under Contaminated Reference Data
ICML 2025
Learning a Continue-Thinking Token for Enhanced Test-Time Scaling
AACL 2025
Robust Conformal Prediction Using Privileged Information
NIPS 2024
Early Time Classification with Accumulated Accuracy Gap Control
ICML 2024
Label Noise Robustness of Conformal Prediction
JMLR 2024
Provably Robust Conformal Prediction with Improved Efficiency
ICLR 2024
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
NIPS 2024
Conformal Prediction with Missing Values
ICML 2023
Calibrated Multiple-Output Quantile Regression with Representation Learning
JMLR 2023
Derandomized novelty detection with FDR control via conformal e-values
NIPS 2023
Model-X Sequential Testing for Conditional Independence via Testing by Betting
AISTATS 2023
Fast Nonlinear Vector Quantile Regression
ICLR 2023
Adversarially Robust Conformal Prediction
ICLR 2022
Semantic uncertainty intervals for disentangled latent spaces
NIPS 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
NIPS 2022
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
ICML 2022
Coordinated Double Machine Learning
ICML 2022
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
ICML 2022
Improving Conditional Coverage via Orthogonal Quantile Regression
NIPS 2021
Conformal Prediction using Conditional Histograms
NIPS 2021
Achieving Equalized Odds by Resampling Sensitive Attributes
NIPS 2020
Classification with Valid and Adaptive Coverage
NIPS 2020
Conformalized Quantile Regression
NIPS 2019
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
JMLR 2017
Convolutional Dictionary Learning via Local Processing
ICCV 2017