Thiago Ramos
6 papers · 2022–2025 · 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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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(21)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Learning Types · Machine Learning
(4)
Optimization & Theory
(4)
Core Methods
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Clinical
(1)
Domain-Specific
(1)
Keywords
conformal prediction
(4)
uncertainty quantification
(3)
ensemble learning
(2)
medical imaging
(1)
feature importance
(1)
deep learning
(1)
ultrasound imaging
(1)
gaussian process
(1)
gradient boosting
(1)
generalization error
(1)
margin maximization
(1)
margin theory
(1)
surrogate loss
(1)
concentration inequality
(1)
boosting algorithm
(1)
prediction interval
(1)
risk assessment
(1)
hash coding
(1)
database blocking
(1)
record linkage
(1)
Papers
Epistemic Uncertainty in Conformal Scores: A Unified Approach
UAI 2025
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
AAAI 2025
BlockBoost: Scalable and Efficient Blocking through Boosting
AISTATS 2024
Split Conformal Prediction and Non-Exchangeable Data
JMLR 2024
AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification
AAAI 2023
ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics
AISTATS 2022