classifier_tests.bib

@article{gretton2012kernel,
  title={A kernel two-sample test},
  author={Gretton, A. and Borgwardt, K. M. and Rasch, M. J. and Sch{\"o}lkopf, B. and Smola, A. J.},
  journal={JMLR},
  year={2012}
}

@InProceedings{	  dlp-clt,
  author	= {D. Lopez-Paz and K. Muandet and B. 
		  Sch{\"{o}}lkopf and I. Tolstikhin},
  title		= {Towards a Learning Theory of Cause-Effect Inference},
  booktitle	= {ICML},
  pages		= {1452--1461},
  year		= {2015}
}

@article{bounliphone15,
   author = {{Bounliphone}, W. and {Belilovsky}, E. and {Blaschko}, M.~B. and 
	{Antonoglou}, I. and {Gretton}, A.},
    title = {A Test of Relative Similarity For Model Selection in Generative Models},
  journal = {arXiv},
     year = 2015,
}

@article{salimans16,
author = {{Salimans}, T. and {Goodfellow}, I. and {Zaremba}, W. and {Cheung}, V. and 
{Radford}, A. and {Chen}, X.},
title = {Improved Techniques for Training {GANs}},
journal = {NIPS},
year = 2016,
}

@article{ramdas16,
  author = {{Ramdas}, A. and {Singh}, A. and {Wasserman}, L.},
  title = {Classification Accuracy as a Proxy for Two Sample Testing},
  journal = {arXiv},
  year = 2016,
}

@article{jiwoong16,
author = {{Jiwoong Im}, D. and {Dongjoo Kim}, C. and {Jiang}, H. and {Memisevic}, R.
       },
title = {Generating images with recurrent adversarial networks},
journal = {arXiv},
year = 2016,
}


@article{pereira2009machine,
  title={Machine learning classifiers and {fMRI}: a tutorial overview},
  author={Pereira, F. and Mitchell, T. and Botvinick, M.},
  journal={Neuroimage},
  year={2009},
}

@incollection{olivetti2012induction,
  title={Induction in neuroscience with classification: issues and solutions},
  author={Olivetti, E. and Greiner, S. and Avesani, P.},
  booktitle={Machine Learning and Interpretation in Neuroimaging},
  year={2012},
}

@article{gretton2012optimal,
  title={Optimal kernel choice for large-scale two-sample tests},
  author={Gretton, A. and Sejdinovic, D. and Strathmann, H. and Balakrishnan, S. and Pontil, M. and Fukumizu, K. and Sriperumbudur, B.},
  journal={NIPS},
  year={2012}
}

@article{reddi2014decreasing,
  title={On the Decreasing Power of Kernel and Distance based Nonparametric Hypothesis Tests in High Dimensions},
  author={Reddi, S. and Ramdas, A. and Poczos, B. and Singh, A. and Wasserman, L.},
  journal={arXiv},
  year={2014}
}

@article{chwialkowski2015fast,
  title={Fast two-sample testing with analytic representations of probability measures},
  author={Chwialkowski, K. and Ramdas, A. and Sejdinovic, D. and Gretton, A.},
  journal={NIPS},
  year={2015}
}

@article{Ramdas15,
   author = {{Ramdas}, A. and {Reddi}, S.~J. and {Poczos}, B. and {Singh}, A. and 
	{Wasserman}, L.},
    title = "{Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing}",
  journal = {arXiv},
     year = 2015,
}

@article{reddi2015high,
  title={On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives.},
  author={Reddi, S. J. and Ramdas, A. and P{\'o}czos, B. and Singh, A. and Wasserman, L. A.},
  journal={AISTATS},
  year={2015}
}

@ARTICLE{Ramdas14,
  author = {{Ramdas}, A. and {Reddi}, S.~J. and {Poczos}, B. and {Singh}, A. and 
         {Wasserman}, L.},
  title = {On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-difference Alternatives},
  journal = {arXiv},
  year = 2014,
}

@ARTICLE{jitkrittum16,
  author = {{Jitkrittum}, W. and {Szabo}, Z. and {Chwialkowski}, K. and 
         {Gretton}, A.},
  title = {Interpretable Distribution Features with Maximum Testing Power},
  journal = {NIPS},
  year = 2016
}

@article{goodfellow2014generative,
  title={Generative adversarial nets},
  author={Goodfellow, I. and Pouget-Abadie, J. and Mirza, M. and Xu, B. and Warde-Farley, D. and Ozair, S. and Courville, A. and Bengio, Y.},
  journal={NIPS},
  year={2014}
}

@article{radford2015unsupervised,
title={Unsupervised representation learning with deep convolutional generative adversarial networks},
author={Radford, A. and Metz, L. and Chintala, S.},
journal={ICLR},
year={2016}
}

@article{mooij2014distinguishing,
  title={Distinguishing cause from effect using observational data: methods and benchmarks},
  author={Mooij, J. M. and Peters, J. and Janzing, D. and Zscheischler, J. and Sch{\"o}lkopf, B.},
  journal={JMLR},
  year={2016}
}

@article{lopez2015towards,
  title={Towards a Learning Theory of Cause-Effect Inference},
  author={Lopez-Paz, D. and Muandet, K. and Sch{\"o}lkopf, B. and Tolstikhin, I.},
  journal={ICML},
  year={2015}
}

@phdthesis{dlp,
  title={From dependence to causation},
  author={Lopez-Paz, D.},
  school={{Univ. of Cambridge}},
  year={2016}
}

@article{theis2015note,
  title={A note on the evaluation of generative models},
  author={Theis, L. and Oord, A. van den and Bethge, M.},
  journal={ICLR},
  year={2016}
}

@article{adam,
  title={Adam: A method for stochastic optimization},
  author={Kingma, D. and Ba, J.},
  journal={ICLR},
  year={2015}
}

@misc{faces,
  url = {http://torch.ch/blog/2015/11/13/gan.html},
  author={Larsen, A. B. L. and S{\o}nderby, S. K.},
  year={2015},
  title={Generating Faces with {Torch}},
}

@misc{resnet,
  url = {http://torch.ch/blog/2016/02/04/resnets.html},
  author={Gross, S. and Wilber, M.},
  year={2016},
  title={Training and investigating Residual Nets},
}

@article{he2015deep,
  title={Deep residual learning for image recognition},
  author={He, K. and Zhang, X. and Ren, S. and Sun, J.},
  journal={CVPR},
  year={2015}
}

@article{lecun2015deep,
  title={Deep learning},
  author={LeCun, Y. and Bengio, Y. and Hinton, G.},
  journal={Nature},
  year={2015},
}

@article{lecun1998gradient,
  title={Gradient-based learning applied to document recognition},
  author={LeCun, Y. and Bottou, L. and Bengio, Y. and Haffner, P.},
  journal={Proceedings of the IEEE},
  year={1998},
}

@TechReport{lfw,
  author =       {Huang, G. B. and Ramesh, M. and Berg, T. and 
  Learned-Miller, E.},
  title =        {Labeled Faces in the Wild: A Database for Studying 
  Face Recognition in Unconstrained Environments},
  institution =  {University of Massachusetts, Amherst},
  year =         2007,
}

@article{imagenet,
Author = {Russakovsky, O. and Deng, J. and Su, H. and Krause, J. and Satheesh, S. and Ma, S. and Huang, Z. and Karpathy, A. and Khosla, A. and Bernstein, M. and Berg, A. C. and Fei-Fei, L.},
Title = {{ImageNet} Large Scale Visual Recognition Challenge},
Year = {2015},
journal   = {IJCV},
}

@Book{pearl2009causality,
  title        = {Causality},
  author    = {Pearl, J.},
  year        = {2009},
  publisher    = {Cambridge University Press}
}

@article{conditionalGans,
  title={Conditional generative adversarial nets},
  author={Mirza, M. and Osindero, S.},
  journal={arXiv},
  year={2014}
}

@ARTICLE{Mohamed2016,
  author = {{Mohamed}, S. and {Lakshminarayanan}, B.},
  title = "{Learning in Implicit Generative Models}",
  journal = {arXiv},
  year = 2016,
}

@article{lloyd2015statistical,
title={Statistical model criticism using kernel two sample tests},
author={Lloyd, J. R. and Ghahramani, Z.},
journal={NIPS},
year={2015}
}

@article{gutmann2012noise,
  title={Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics},
  author={Gutmann, M. U. and Hyv{\"a}rinen, A.},
  journal={JMLR},
  year={2012}
}

@ARTICLE{Cranmer15,
  author = {{Cranmer}, K. and {Pavez}, J. and {Louppe}, G.},
  title = "{Approximating Likelihood Ratios with Calibrated Discriminative Classifiers}",
  journal = {arXiv},
  year = 2015,
}

@article{johnson1999insignificance,
  title={The insignificance of statistical significance testing},
  author={Johnson, D. H.},
  journal={The journal of wildlife management},
  year={1999},
}

@book{lehmann2006testing,
  title={Testing statistical hypotheses},
  author={Lehmann, E. L. and Romano, J. P.},
  year={2006},
  publisher={Springer}
}

@article{box1980sampling,
  title={Sampling and Bayes' inference in scientific modelling and robustness},
  author={Box, G. E. P.},
  journal={Journal of the Royal Statistical Society},
  year={1980},
}

@article{student1908probable,
  title={The probable error of a mean},
  author={Student},
  journal={Biometrika},
  year={1908},
}

@article{mann1947test,
  title={On a test of whether one of two random variables is stochastically larger than the other},
  author={Mann, H. B. and Whitney, D. R.},
  journal={The annals of mathematical statistics},
  year={1947},
}

@article{wilcoxon1945individual,
  title={Individual comparisons by ranking methods},
  author={Wilcoxon, F.},
  journal={Biometrics bulletin},
  year={1945},
}

@article{kolmogorov1933sulla,
  title={Sulla determinazione empirica di una legge di distribuzione},
  author={Kolmogorov, A. N.},
  year={1933},
  journal={Inst. Ital. Attuari}
}

@article{smirnov1939estimation,
  title={On the estimation of the discrepancy between empirical curves of distribution for two independent samples},
  author={Smirnov, N. V.},
  journal={Bull. Math. Univ. Moscou},
  year={1939}
}

@ARTICLE{karolina,
author = {Dziugaite, K. G. and {Roy}, D.~M. and {Ghahramani}, Z.},
title = "{Training generative neural networks via Maximum Mean Discrepancy optimization}",
journal = {UAI},
year = 2015,
}

@article{bengio2013bounding,
  title={Bounding the test log-likelihood of generative models},
  author={Bengio, Y. and Yao, L. and Cho, K.},
  journal={arXiv},
  year={2013}
}

@article{friedman2003multivariate,
  title={On multivariate goodness of fit and two sample testing},
  author={Friedman, J. H.},
  journal={eConf},
  year={2003}
}

@article{cranmer2015approximating,
  title={Approximating Likelihood Ratios with Calibrated Discriminative Classifiers},
  author={Cranmer, K. and Pavez, J. and Louppe, G.},
  journal={arXiv},
  year={2015}
}

@ARTICLE{perceptual,
  author = {{Johnson}, J. and {Alahi}, A. and {Fei-Fei}, L.},
  title = "{Perceptual Losses for Real-Time Style Transfer and Super-Resolution}",
  journal = {ECCV},
  year = 2016,
}

@article{reid2011information,
  title={Information, divergence and risk for binary experiments},
  author={Reid, M. D. and Williamson, R. C.},
  journal={JMLR},
  year={2011}
}

@article{mikolov2013distributed,
title={Distributed representations of words and phrases and their compositionality},
author={Mikolov, T. and Sutskever, I. and Chen, K. and Corrado, G. S. and Dean, J.},
journal={NIPS},
year={2013}
}

@article{nowozin2016f,
  title={{f-GAN}: Training Generative Neural Samplers using Variational Divergence Minimization},
  author={Nowozin, S. and Cseke, B. and Tomioka, R.},
  journal={NIPS},
  year={2016}
}

@ARTICLE{lsun,
  author = {{Yu}, F. and {Seff}, A. and {Zhang}, Y. and {Song}, S. and {Funkhouser}, T. and 
  {Xiao}, J.},
  title = "{LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop}",
  journal = {arXiv},
  year = 2015,
}

@ARTICLE{harnessing,
  author = {{Goodfellow}, I.~J. and {Shlens}, J. and {Szegedy}, C.},
  title = "{Explaining and Harnessing Adversarial Examples}",
  journal = {arXiv},
  year = 2014,
}


@article{kuiper,
  author = {Kuiper, N. H.},
  journal = {Nederl. Akad. Wetensch. Proc.},
  title = {{Tests concerning random points on a circle}},
  volume = {63},
  year = {1962}
}

@ARTICLE{metests,
  author = {{Jitkrittum}, W. and {Szabo}, Z. and {Chwialkowski}, K. and 
  {Gretton}, A.},
  title = "{Interpretable Distribution Features with Maximum Testing Power}",
  journal = {NIPS},
  year = 2016,
}

@book{smola98,
  title={Learning with kernels},
  author={Smola, A. J. and Sch{\"o}lkopf, B.},
  year={1998},
  publisher={Citeseer}
}

@book{friedman2001elements,
title={The elements of statistical learning},
author={Friedman, J. and Hastie, T. and Tibshirani, R.},
year={2001},
publisher={Springer}
}

@misc{odena2016deconvolution,
  author = {Odena, A. and Dumoulin, V. and Olah, C.},
  title = {Deconvolution and Checkerboard Artifacts},
  year = {2016},
  howpublished = {http://distill.pub/2016/deconv-checkerboard/}
}

@article{scikit-learn,
  title={Scikit-learn: Machine Learning in {P}ython},
  author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
  and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
  and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
  Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
  journal={JMLR},
  year={2011}
}

@article{Golland2003,
author="Golland, P. and Fischl, B.",
title="Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies",
journal="IPMI",
year="2003",
}

@article{bai1996effect,
  title={Effect of high dimension: by an example of a two sample problem},
  author={Bai, Z. and Saranadasa, H.},
  journal={Statistica Sinica},
  year={1996},
}

@book{Vapnik98,
  title={Statistical learning theory},
  author={Vapnik, V.},
  year={1998},
  publisher={Wiley New York}
}

@article{jit2,
title = {Fast Two-Sample Testing with Analytic Representations of Probability Measures},
author = {Chwialkowski, K. P. and Ramdas, A. and Sejdinovic, D. and Gretton, A.},
journal = {NIPS},
year = {2015},
}

@inproceedings{gretton2005measuring,
  title={Measuring statistical dependence with Hilbert-Schmidt norms},
  author={Gretton, A. and Bousquet, O. and Smola, A. and Sch{\"o}lkopf, B.},
  booktitle={ALT},
  year={2005},
}

@article{bounliphone2015test,
  title={A test of relative similarity for model selection in generative models},
  author={Bounliphone, W. and Belilovsky, E. and Blaschko, M. B. and Antonoglou, I. and Gretton, A.},
  journal={arXiv},
  year={2015}
}

@ARTICLE{gretton2016,
  author = {{Sutherland}, D.~J. and {Tung}, H.-Y. and {Strathmann}, H. and {De}, S. and {Ramdas}, A. and {Smola}, A. and {Gretton}, A.},
  title = "{Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy}",
  journal = {arXiv},
  year = 2016,
}


@ARTICLE{kanamori2010,
  author = {{Kanamori}, T. and {Suzuki}, T. and {Sugiyama}, M.},
  title = "{f-divergence estimation and two-sample homogeneity test under semiparametric density-ratio models}",
  journal = {arXiv},
  year = 2010,
}


@Article{Wornowizki2016,
  author="Wornowizki, M. and Fried, R.",
  title="Two-sample homogeneity tests based on divergence measures",
  journal="Computational Statistics",
  year="2016",
}

@article{Menon2016,
  title={Linking losses for density ratio and class-probability estimation},
  author={A. K. Menon and C. S. Ong},
  journal={ICML},
  year={2016}
}

@article{Fukumizu2009,
title = {Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions},
author = {Fukumizu, K. and Gretton, A. and Gert R. L. and Sch\"{o}lkopf, B. and Sriperumbudur, B.},
journal = {NIPS},
year = {2009},
}

@article{Ehm91,
  title={Binomial approximation to the Poisson binomial distribution},
  author={Ehm, W.},
  journal={Statistics \& Probability Letters},
  year={1991},
}

@article{perez2009estimation,
  title={Estimation of information theoretic measures for continuous random variables},
  author={P{\'e}rez-Cruz, F.},
  journal={NIPS},
  year={2009}
}