David Madras
11 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π Conference Polyglot Β· Bronze π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
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Conference Pioneer
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Machine Learning
(9)
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Learning Types Β· Machine Learning
(4)
Deep Learning
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
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(1)
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representation learning
(2)
algorithmic fairness
(1)
domain adaptation
(1)
adversarial learning
(1)
time series
(1)
variational inference
(1)
benchmark evaluation
(1)
causal discovery
(1)
model robustness
(1)
regression
(1)
active learning
(1)
covariate shift
(1)
human-computer interaction
(1)
variance reduction
(1)
distribution shift
(1)
hessian matrix
(1)
eigen-spectrum decomposition
(1)
dynamical system
(1)
disentangled representation
(1)
causal inference
(1)
Papers
QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions
ICML 2025
Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression
ICML 2025
Learning and Forgetting Unsafe Examples in Large Language Models
ICML 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
ICML 2024
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
CLeaR 2022
Identifying and Benchmarking Natural Out-of-Context Prediction Problems
NeurIPS 2021
Causal Modeling for Fairness In Dynamical Systems
ICML 2020
Detecting Extrapolation with Local Ensembles
ICLR 2020
Flexibly Fair Representation Learning by Disentanglement
ICML 2019
Learning Adversarially Fair and Transferable Representations
ICML 2018
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
NeurIPS 2018