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01/31/2023
Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization
Generative models have the ability to synthesize data points drawn from ...
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09/16/2022
Sales Channel Optimization via Simulations Based on Observational Data with Delayed Rewards: A Case Study at LinkedIn
Training models on data obtained from randomized experiments is ideal fo...
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05/21/2021
Probabilistic Sufficient Explanations
Understanding the behavior of learned classifiers is an important task, ...
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06/29/2020
Handling Missing Data in Decision Trees: A Probabilistic Approach
Decision trees are a popular family of models due to their attractive pr...
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10/05/2019
On Tractable Computation of Expected Predictions
Computing expected predictions has many interesting applications in area...
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03/05/2019