Alexander D'Amour
12 papers · 2017–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (12)
🏃
Academic Marathon
(8)
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(7)
👥
Mega-Team
(40)
🔥
Unstoppable
(6)
💎
Century Club
(12)
❓
The Questioner
📈
Trend Setter
Conferences
NIPS (6)
ICLR (3)
JMLR (2)
CVPR (1)
Top co-authors
Keywords
distribution shift
(5)
domain generalization
(4)
causal inference
(4)
spurious correlation
(2)
transfer learning
(2)
logistic regression
(1)
em algorithm
(1)
model robustness
(1)
high-dimensional inference
(1)
test-time adaptation
(1)
out-of-distribution generalization
(1)
hierarchical model
(1)
variance reduction
(1)
sensitivity analysis
(1)
machine learning
(1)
label shift
(1)
conditional independence
(1)
reparameterization gradient
(1)
convolutional neural network
(1)
data balancing
(1)
Papers
Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding
JMLR 2025
Mind the Graph When Balancing Data for Fairness or Robustness
NIPS 2024
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
ICLR 2024
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
NIPS 2023
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
NIPS 2022
The MultiBERTs: BERT Reproductions for Robustness Analysis
ICLR 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
On Robustness and Transferability of Convolutional Neural Networks
CVPR 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
Detecting Extrapolation with Local Ensembles
ICLR 2020
Reducing Reparameterization Gradient Variance
NIPS 2017