Concepedia

Author

Shayak Sen

Carnegie Mellon University

Also Known As

Sen, Shayak, Shayak Sen, Shayak Sen

25

Publications

1.2K

Citations

12

H-Index

65

Concepts

All Affiliations

Carnegie Mellon University
SS

About

Shayak Sen is an author at Carnegie Mellon University specializing in engineering, data science, and computer science.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Engineering

9

9

926

2

Computer Science

8

8

913

3

Business

2

2

42

4

Management

2

2

693

5

Accounting

1

1

13

Shayak Sen

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12

Publications

1.2K

Citations

11

H-Index

YearCitations

Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems

Anupam Datta, Shayak Sen, Yair Zick

2016

678

Machine Learning Explainability in Finance: An Application to Default Risk Analysis

Philippe Bracke, Anupam Datta, Carsten Jung,

SSRN Electronic Journal

2019

151

Bootstrapping Privacy Compliance in Big Data Systems

Shayak Sen, Saikat Guha, Anupam Datta,

2014

84

Use Privacy in Data-Driven Systems

Anupam Datta, Matt Fredrikson, Gihyuk Ko,

2017

58

Influence-Directed Explanations for Deep Convolutional Networks

K. Rustan M. Leino, Shayak Sen, Anupam Datta,

2018

55

Bias In, Bias Out? Evaluating the Folk Wisdom

Anupam Datta, Matt Fredrikson, Gihyuk Ko,

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

2017

40

SoK: Differential Privacy as a Causal Property

Michael Carl Tschantz, Shayak Sen, Anupam Datta

2020

29

Debugging Machine Learning Tasks

Aleksandar Chakarov, Aditya V. Nori, Sriram K. Rajamani,

arXiv (Cornell University)

2016

24

A Logic of Programs with Interface-Confined Code

Limin Jia, Shayak Sen, Deepak Garg,

2015

15

Machine Learning Explainability and Robustness

Anupam Datta, Matt Fredrikson, K. Rustan M. Leino,

2021

15

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