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06/20/2023
ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis
We use prompt engineering to guide ChatGPT in the automation of text min...
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05/23/2023
Disincentivizing Polarization in Social Networks
On social networks, algorithmic personalization drives users into filter...
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04/12/2023
Locality via Global Ties: Stability of the 2-Core Against Misspecification
For many random graph models, the analysis of a related birth process su...
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05/25/2022
Graph Agnostic Randomized Experimental Design
Randomized experiments are widely used to estimate causal effects of pro...
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10/18/2021
Algorithms Using Local Graph Features to Predict Epidemics
We study a simple model of epidemics where an infected node transmits th...
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09/16/2021
Strategic Ranking
Strategic classification studies the design of a classifier robust to th...
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03/17/2021
Locality of Random Digraphs on Expanders
We study random digraphs on sequences of expanders with bounded average ...
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10/04/2019
The Disparate Equilibria of Algorithmic Decision Making when Individuals Invest Rationally
The long-term impact of algorithmic decision making is shaped by the dyn...
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09/20/2019
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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04/10/2019
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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01/27/2019
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
We present a large-scale study of gender bias in occupation classificati...
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10/30/2018
Private Algorithms Can Always Be Extended
We consider the following fundamental question on ϵ-differential privacy...
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10/30/2018
Private Algorithms Can be Always Extended
We consider the following fundamental question on ϵ-differential privacy...
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10/04/2018
Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation
Motivated by growing concerns over ensuring privacy on social networks, ...
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12/03/2017
Iterative Collaborative Filtering for Sparse Matrix Estimation
The sparse matrix estimation problem consists of estimating the distribu...
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11/06/2016
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
This paper proposes a new optimization algorithm called Entropy-SGD for ...
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05/20/2016
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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02/04/2016