Steve Yadlowsky
10 papers · 2017–2022 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
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Mega-Team Β· Squad
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Research topics
Machine Learning
(8)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Core AI
(4)
Optimization & Theory
(4)
Application Areas
(3)
Core Methods
(3)
Natural Language Processing
(2)
Learning Types
(2)
Mathematics
(2)
Optimization
(2)
Deep Learning
(1)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Applications
(1)
Keywords
statistical inference
(3)
causal inference
(3)
calibration error
(2)
domain generalization
(2)
survival analysis
(2)
text classification
(1)
adaptive sampling
(1)
stochastic gradient descent
(1)
coreference resolution
(1)
observational study
(1)
high-dimensional inference
(1)
sublevel sets
(1)
coordinate descent
(1)
sequential decision
(1)
nonsmooth optimization
(1)
model robustness
(1)
distribution shift
(1)
derivative-free optimization
(1)
logistic regression
(1)
robust optimization
(1)
Papers
Calibration Error for Heterogeneous Treatment Effects
AISTATS 2022
The MultiBERTs: BERT Reproductions for Robustness Analysis
ICLR 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
Counterfactual Invariance to Spurious Correlations in Text Classification
NeurIPS 2021
Deep Cox Mixtures for Survival Regression
MLHC 2021
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
NeurIPS 2021
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding
NeurIPS 2020
A Calibration Metric for Risk Scores with Survival Data
MLHC 2019
Derivative Free Optimization Via Repeated Classification
AISTATS 2018
Adaptive Sampling Probabilities for Non-Smooth Optimization
ICML 2017