Interpreting Black Box Predictions using Fisher Kernels

Human problem solving

A. Newell and H.A. Simon · 1972

Earlier work this paper cites.

An analysis of approximations for maximizing submodular set functions—i

George L Nemhauser, Laurence A Wolsey, and Marshall L Fisher · 1978

Earlier work this paper cites.

Characterizations of an empirical influence function for detecting influential cases in regression

R. Dennis Cook and Sanford Weisberg · 1980

Earlier work this paper cites.

Bayes-hermite quadrature

A O’Hagan · 1991

Earlier work this paper cites.

Metarecognition in time-stressed decision making: Recognizing, critiquing, and correcting

M.S. Cohen, J.T. Freeman, and S. Wolf · 1996

Earlier work this paper cites.

Gradient-based learning applied to document recognition

Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998

Earlier work this paper cites.

Exploiting generative models in discriminative classifiers

Tommi S. Jaakkola and David Haussler · 1999

Earlier work this paper cites.

Kernel Methods for Pattern Analysis

Original

John Shawe-Taylor and Nello Cristianini · 2004

Earlier work this paper cites.

A kernel method for the two-sample problem

A. Gretton, K.M. Borgwardt, M.J. Rasch, B. Schölkopf, and A. Smola · 2008

Earlier work this paper cites.

Super-samples from kernel herding

Yutian Chen, Max Welling, and Alexander J. Smola · 2010

Cited alongside, same era.

Digital Nets and Sequences: Discrepancy Theory and Quasi-Monte Carlo Integration

Josef Dick and Friedrich Pillichshammer · 2010

Cited alongside, same era.

Improving the fisher kernel for large-scale image classification

Florent Perronnin, Jorge Sánchez, and Thomas Mensink · 2010

Cited alongside, same era.

Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection

Abhimanyu Das and David Kempe · 2011

Cited alongside, same era.

On the equivalence between herding and conditional gradient algorithms

Francis Bach, Simon Lacoste-Julien, and Guillaume Obozinski · 2012

Cited alongside, same era.

Optimally-weighted herding is bayesian quadrature

Ferenc Huszar and David K. Duvenaud · 2012

Tensorflow: A system for large-scale machine learning

Martin Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2016

Later among the works it cites.

Coresets for scalable bayesian logistic regression

Jonathan H. Huggins, Trevor Campbell, and Tamara Broderick · 2016

Later among the works it cites.

Examples are not enough, learn to criticize! criticism for interpretability

Been Kim, Rajiv Khanna, and Oluwasanmi O Koyejo · 2016

Later among the works it cites.

"why should i trust you?": Explaining the predictions of any classifier

Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin · 2016

Later among the works it cites.

Scalable Greedy Support Selection via Weak Submodularity

Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand Neghaban, and Joydeep Ghosh · 2017

Later among the works it cites.