Paulo Orenstein
7 papers · 2020–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(23)
🐣
Hot Topic Early Bird
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(7)
Learning Types · Machine Learning
(5)
Core Methods
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Learning Types · Deep Learning
(2)
Optimization
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Healthcare & Medicine
(1)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Clinical
(1)
Keywords
uncertainty quantification
(2)
ensemble learning
(2)
conformal prediction
(2)
image segmentation
(1)
variational inference
(1)
bayesian learning
(1)
medical imaging
(1)
bayesian inference
(1)
surrogate loss
(1)
margin maximization
(1)
feature importance
(1)
deep learning
(1)
markov chain monte carlo
(1)
gradient boosting
(1)
generalization error
(1)
online learning
(1)
high-dimensional regression
(1)
margin theory
(1)
semantic segmentation
(1)
model compression
(1)
Papers
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
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
NeurIPS 2023
ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics
AISTATS 2022
Online Learning with Optimism and Delay
ICML 2021
Scalable Approximate MCMC Algorithms for the Horseshoe Prior
JMLR 2020