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p-value peeking and estimating extrema

Nov 02, 2020
Akshay Balsubramani


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Sharp finite-sample large deviation bounds for independent variables

Sep 15, 2020
Akshay Balsubramani


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Learning transport cost from subset correspondence

Sep 29, 2019
Ruishan Liu, Akshay Balsubramani, James Zou


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An adaptive nearest neighbor rule for classification

May 29, 2019
Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, Shay Moran


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Semantically Decomposing the Latent Spaces of Generative Adversarial Networks

Feb 22, 2018
Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian McAuley

* Published as a conference paper at ICLR 2018 

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Linking Generative Adversarial Learning and Binary Classification

Sep 05, 2017
Akshay Balsubramani


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Learning to Abstain from Binary Prediction

Nov 29, 2016
Akshay Balsubramani


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Optimal Binary Autoencoding with Pairwise Correlations

Nov 07, 2016
Akshay Balsubramani


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Optimal Binary Classifier Aggregation for General Losses

Nov 07, 2016
Akshay Balsubramani, Yoav Freund

* NIPS 2016 

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Muffled Semi-Supervised Learning

May 28, 2016
Akshay Balsubramani, Yoav Freund


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Sequential Nonparametric Testing with the Law of the Iterated Logarithm

Mar 02, 2016
Akshay Balsubramani, Aaditya Ramdas


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The Utility of Abstaining in Binary Classification

Dec 26, 2015
Akshay Balsubramani

* Short survey 

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Sharp Finite-Time Iterated-Logarithm Martingale Concentration

Dec 01, 2015
Akshay Balsubramani

* 25 pages 

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Scalable Semi-Supervised Aggregation of Classifiers

Nov 11, 2015
Akshay Balsubramani, Yoav Freund


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PAC-Bayes Iterated Logarithm Bounds for Martingale Mixtures

Jun 22, 2015
Akshay Balsubramani


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Optimally Combining Classifiers Using Unlabeled Data

Jun 18, 2015
Akshay Balsubramani, Yoav Freund


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PAC-Bayes with Minimax for Confidence-Rated Transduction

Jan 15, 2015
Akshay Balsubramani, Yoav Freund


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The Fast Convergence of Incremental PCA

Jan 15, 2015
Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund

* NIPS 2013 

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