182 citations · 517 across the 17 of their papers we have counts for
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cs.LG2020★ 8 cited
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification
Robert Adragna, Elliot Creager, David Madras +1
Robustness is of central importance in machine learning and has given rise to the fields of domain generalization and invariant learning, which are concerned with improving perform…
cs.LG2020★ 69 cited
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
Sindy Löwe, David Madras, Richard Zemel +1
On time-series data, most causal discovery methods fit a new model whenever they encounter samples from a new underlying causal graph. However, these samples often share relevant i…