
The Disparate Equilibria of Algorithmic Decision Making when Individuals Invest Rationally
The longterm impact of algorithmic decision making is shaped by the dyn...
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Efficient sampling and counting algorithms for the Potts model on Z^d at all temperatures
For d > 2 and all q≥ q_0(d) we give an efficient algorithm to approximat...
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Tackling Climate Change with Machine Learning
Climate change is one of the greatest challenges facing humanity, and we...
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Visualizing the Consequences of Climate Change Using CycleConsistent Adversarial Networks
We present a project that aims to generate images that depict accurate, ...
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What's in a Name? Reducing Bias in Bios without Access to Protected Attributes
There is a growing body of work that proposes methods for mitigating bia...
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Bias in Bios: A Case Study of Semantic Representation Bias in a HighStakes Setting
We present a largescale study of gender bias in occupation classificati...
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Private Algorithms Can Always Be Extended
We consider the following fundamental question on ϵdifferential privacy...
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Private Algorithms Can be Always Extended
We consider the following fundamental question on ϵdifferential privacy...
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Revealing Network Structure, Confidentially: Improved Rates for NodePrivate Graphon Estimation
Motivated by growing concerns over ensuring privacy on social networks, ...
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Iterative Collaborative Filtering for Sparse Matrix Estimation
The sparse matrix estimation problem consists of estimating the distribu...
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EntropySGD: Biasing Gradient Descent Into Wide Valleys
This paper proposes a new optimization algorithm called EntropySGD for ...
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Unreasonable Effectiveness of Learning Neural Networks: From Accessible States and Robust Ensembles to Basic Algorithmic Schemes
In artificial neural networks, learning from data is a computationally d...
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Discovering Neuronal Cell Types and Their Gene Expression Profiles Using a Spatial Point Process Mixture Model
Cataloging the neuronal cell types that comprise circuitry of individual...
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Jennifer Chayes
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Technical Fellow & Managing Director; Microsoft Research New England, New York City, and Montreal at Microsoft, Professor of Mathematics at UCLA from 19871999, Postdoctoral Fellow at Laboratory of Atomic and Solid State Physics at Cornell University from 19851987, Postdoctoral Fellow, Mathematics and Physics Departments at Harvard University from 19831985