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06/18/2023
OpenDataVal: a Unified Benchmark for Data Valuation
Assessing the quality and impact of individual data points is critical f...
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05/04/2023
On the nonlinear correlation of ML performance between data subpopulations
Understanding the performance of machine learning (ML) models across div...
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04/16/2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
Data valuation is a powerful framework for providing statistical insight...
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09/27/2022
WeightedSHAP: analyzing and improving Shapley based feature attributions
Shapley value is a popular approach for measuring the influence of indiv...
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03/03/2022
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
We present modality gap, an intriguing geometric phenomenon of the repre...
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01/26/2022
Competition over data: how does data purchase affect users?
As machine learning (ML) is deployed by many competing service providers...
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10/26/2021
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning
Data Shapley has recently been proposed as a principled framework to qua...
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09/15/2020
Competing AI: How does competition feedback affect machine learning?
This papers studies how competition affects machine learning (ML) predic...
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07/02/2020
Efficient computation and analysis of distributional Shapley values
Distributional data Shapley value (DShapley) has been recently proposed ...
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06/05/2020
Principled Learning Method for Wasserstein Distributionally Robust Optimization with Local Perturbations
Wasserstein distributionally robust optimization (WDRO) attempts to lear...
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03/20/2019
Uncertainty quantification of molecular property prediction with Bayesian neural networks
Deep neural networks have outperformed existing machine learning models ...
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01/28/2019