David Madras
11 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4)
π
Academic Marathon
(7)
π
Cross-Pollinator
(14)
π
Century Club
(11)
π₯
Unstoppable
(5)
π
Conference Pioneer
Conferences
ICML (7)
NIPS (2)
CLEAR (1)
ICLR (1)
Top co-authors
Keywords
representation learning
(2)
benchmark evaluation
(1)
adversarial learning
(1)
algorithmic fairness
(1)
variational inference
(1)
domain adaptation
(1)
causal discovery
(1)
model robustness
(1)
time series
(1)
human-computer interaction
(1)
distribution shift
(1)
dynamical system
(1)
disentangled representation
(1)
bias mitigation
(1)
group fairness
(1)
hidden confounding
(1)
learning to defer
(1)
fair machine learning
(1)
directed acyclic graph
(1)
causal graph
(1)
Papers
Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression
ICML 2025
QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions
ICML 2025
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
ICML 2024
Learning and Forgetting Unsafe Examples in Large Language Models
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
NIPS 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
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
NIPS 2018
Learning Adversarially Fair and Transferable Representations
ICML 2018