Peter Schulam
9 papers · 2015–2023 · 6 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🏃 Academic Marathon (8) 🐝 Cross-Pollinator (13)
🐝
Cross-Pollinator
(13)
🌈
Renaissance Researcher
(5)
🌉
Interdisciplinary Bridge
🏆
Keyword Champion
(3)
🗃️
Keyword Collector
(55)
📈
Trend Setter
❓
The Questioner
Conferences
NIPS (3)
AISTATS (2)
ACL (1)
ICML (1)
JMLR (1)
SEMEVAL (1)
Top co-authors
Keywords
disease trajectory
(3)
in-context learning
(2)
transformer model
(2)
latent variable model
(2)
text classification
(2)
ensemble learning
(2)
data augmentation
(2)
causal inference
(2)
sexism detection
(2)
bayesian inference
(1)
clinical prediction
(1)
fine-grained classification
(1)
gaussian process
(1)
hierarchical model
(1)
representation learning
(1)
ensemble method
(1)
domain adaptation
(1)
probabilistic model
(1)
dataset shift
(1)
distribution shift
(1)
Papers
QCon at SemEval-2023 Task 10: Data Augmentation and Model Ensembling for Detection of Online Sexism
ACL 2023
QCon at SemEval-2023 Task 10: Data Augmentation and Model Ensembling for Detection of Online Sexism
SEMEVAL 2023
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
Active Learning for Decision-Making from Imbalanced Observational Data
ICML 2019
Reliable Decision Support using Counterfactual Models
NIPS 2017
Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses
JMLR 2016
Disease Trajectory Maps
NIPS 2016
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure
NIPS 2015