Mihaela Schaar
17 papers · 2015–2020 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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(5)
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Venues
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Research topics
Machine Learning
(17)
Artificial Intelligence
(8)
Core Methods
(7)
Learning Types
(7)
Optimization & Theory
(7)
Application Areas
(5)
Core AI
(5)
Data Science & Analytics
(3)
Applications
(3)
Healthcare & Medicine
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic
(2)
Clinical
(2)
Learning Paradigms
(2)
Mathematics
(2)
Keywords
gaussian process
(3)
sequential decision making
(2)
generative adversarial network
(2)
observational data
(2)
bayesian optimization
(2)
survival analysis
(2)
clinical decision support
(2)
clinical trial
(2)
domain adaptation
(2)
bayesian inference
(2)
causal inference
(2)
hyperparameter optimization
(2)
context-aware learning
(1)
variable selection
(1)
gaussian processes
(1)
model selection
(1)
anomaly detection
(1)
off-policy evaluation
(1)
markov decision process
(1)
deep kernel learning
(1)
Papers
Contextual Constrained Learning for Dose-Finding Clinical Trials
AISTATS 2020
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes
AISTATS 2020
Learning Overlapping Representations for the Estimation of Individualized Treatment Effects
AISTATS 2020
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning
AISTATS 2020
ASAC: Active Sensing using Actor-Critic models
MLHC 2019
Multi-view Multi-task Learning for Improving Autonomous Mammogram Diagnosis
MLHC 2019
Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials
AISTATS 2019
Temporal Quilting for Survival Analysis
AISTATS 2019
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
ICML 2018
GAIN: Missing Data Imputation using Generative Adversarial Nets
ICML 2018
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design
ICML 2018
RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks
ICML 2018
Tree-based Bayesian Mixture Model for Competing Risks
AISTATS 2018
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis
ICML 2017
Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design
ICML 2016
ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission
ICML 2016
Context-based Unsupervised Data Fusion for Decision Making
ICML 2015