Steve Yadlowsky
10 papers · 2017–2022 · 6 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (12)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(5)
🐝
Cross-Pollinator
(12)
👥
Mega-Team
(40)
💎
Century Club
(10)
🔥
Unstoppable
(6)
Conferences
NIPS (3)
AISTATS (2)
MLHC (2)
ICLR (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
causal inference
(3)
survival analysis
(2)
domain generalization
(2)
calibration error
(2)
statistical inference
(2)
logistic regression
(1)
high-dimensional inference
(1)
adaptive sampling
(1)
sublevel sets
(1)
coordinate descent
(1)
sequential decision
(1)
distribution shift
(1)
observational study
(1)
mixture model
(1)
bandit optimization
(1)
deep neural network
(1)
non-smooth optimization
(1)
spurious correlation
(1)
confidence interval
(1)
model deployment
(1)
Papers
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
Calibration Error for Heterogeneous Treatment Effects
AISTATS 2022
The MultiBERTs: BERT Reproductions for Robustness Analysis
ICLR 2022
Deep Cox Mixtures for Survival Regression
MLHC 2021
Counterfactual Invariance to Spurious Correlations in Text Classification
NIPS 2021
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
NIPS 2021
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding
NIPS 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