Peter Schulam
8 papers · 2015–2023 · 5 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
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21) π Conference Polyglot Β· Silver
π
Keyword Champion
(3)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(52)
β
The Questioner
π
Trend Setter
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Core AI
(4)
Core Methods
(4)
Learning Types
(3)
Healthcare & Medicine
(2)
Application Areas
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Clinical
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Natural Language Processing
(1)
Applications
(1)
Models
(1)
Keywords
disease trajectory
(3)
causal inference
(2)
latent variable model
(2)
ensemble learning
(2)
domain adaptation
(1)
gaussian process
(1)
representation learning
(1)
uncertainty quantification
(1)
variational inference
(1)
data augmentation
(1)
in-context learning
(1)
clinical prediction
(1)
text classification
(1)
hierarchical model
(1)
dataset shift
(1)
distribution shift
(1)
probabilistic model
(1)
bayesian inference
(1)
personalized medicine
(1)
online learning
(1)
Papers
QCon at SemEval-2023 Task 10: Data Augmentation and Model Ensembling for Detection of Online Sexism
SemEval 2023
Active Learning for Decision-Making from Imbalanced Observational Data
ICML 2019
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning
AISTATS 2019
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport
AISTATS 2019
Reliable Decision Support using Counterfactual Models
NeurIPS 2017
Disease Trajectory Maps
NeurIPS 2016
Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses
JMLR 2016
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure
NeurIPS 2015