Pasha Khosravi | DeepAI

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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 ...

10 Omead Pooladzandi, et al. ∙

∙ 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...

0 Diana M. Negoescu, et al. ∙

∙ 05/21/2021

Probabilistic Sufficient Explanations

Understanding the behavior of learned classifiers is an important task, ...

0 Eric Wang, et al. ∙

∙ 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...

13 Pasha Khosravi, et al. ∙

∙ 10/05/2019

On Tractable Computation of Expected Predictions

Computing expected predictions has many interesting applications in area...

15 Pasha Khosravi, et al. ∙

∙ 03/05/2019

What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features

While discriminative classifiers often yield strong predictive performan...

17 Pasha Khosravi, et al. ∙

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