Thiago Ramos
6 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(18)
Conferences
AAAI (2)
AISTATS (2)
JMLR (1)
UAI (1)
Top co-authors
Keywords
conformal prediction
(3)
ensemble learning
(2)
uncertainty quantification
(2)
feature importance
(1)
deep learning
(1)
ultrasound imaging
(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)
scalable algorithm
(1)
coverage penalty
(1)
Papers
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
AAAI 2025
Epistemic Uncertainty in Conformal Scores: A Unified Approach
UAI 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