Search Results for author: Yuyan Wang

Found 8 papers, 1 papers with code

Robust Online Correlation Clustering

no code implementations NeurIPS 2021 Silvio Lattanzi, Benjamin Moseley, Sergei Vassilvitskii, Yuyan Wang, Rudy Zhou

In correlation clustering we are given a set of points along with recommendations whether each pair of points should be placed in the same cluster or into separate clusters.

Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning

no code implementations4 Jun 2021 Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi

This presents a multi-dimensional Pareto frontier on (1) the trade-off between group fairness and accuracy with respect to each task, as well as (2) the trade-offs across multiple tasks.

Fairness Multi-Task Learning

An Objective for Hierarchical Clustering in Euclidean Space and its Connection to Bisecting K-means

1 code implementation30 Aug 2020 Benjamin Moseley, Yuyan Wang

The paper builds a theoretical connection between this objective and the bisecting k-means algorithm.

Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems

no code implementations17 Aug 2020 Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui

Despite deep neural network (DNN)'s impressive prediction performance in various domains, it is well known now that a set of DNN models trained with the same model specification and the same data can produce very different prediction results.

Model-based Reinforcement Learning Recommendation Systems

Small Towers Make Big Differences

no code implementations13 Aug 2020 Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Ed H. Chi

A delicate balance between multi-task generalization and multi-objective optimization is therefore needed for finding a better trade-off between efficiency and generalization.

Multi-Task Learning

Relational Algorithms for k-means Clustering

no code implementations1 Aug 2020 Benjamin Moseley, Kirk Pruhs, Alireza Samadian, Yuyan Wang

Few relational algorithms are known and this paper offers techniques for designing relational algorithms as well as characterizing their limitations.

Relational Reasoning

Fair Hierarchical Clustering

no code implementations NeurIPS 2020 Sara Ahmadian, Alessandro Epasto, Marina Knittel, Ravi Kumar, Mohammad Mahdian, Benjamin Moseley, Philip Pham, Sergei Vassilvitskii, Yuyan Wang

As machine learning has become more prevalent, researchers have begun to recognize the necessity of ensuring machine learning systems are fair.

BIG-bench Machine Learning Fairness

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