← Authors

Yaniv Romano

28 papers · 2017–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (42) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (8) 🌈 Renaissance Researcher (7) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (6) πŸ’Ž Century Club (28) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ 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

Matteo Sesia (6) Stephen Bates (6) Shai Feldman (5) Liran Ringel (4) Emmanuel Candes (3) Michael Elad (3) Vardan Papyan (2) Tsui-Wei Weng (2) Shalev Shaer (2) Elad Tolochinsky (2)

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