Akshay Balsubramani

According to our database1, Akshay Balsubramani authored at least 24 papers between 2013 and 2022.

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Bibliography

2022
Accelerating <i>in silico</i> saturation mutagenesis using compressed sensing.
Bioinform., 2022

2021

2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts.
CoRR, 2020

Sharp finite-sample large deviation bounds for independent variables.
CoRR, 2020

Learning transport cost from subset correspondence.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
An adaptive nearest neighbor rule for classification.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Linking Generative Adversarial Learning and Binary Classification.
CoRR, 2017

Optimal Binary Autoencoding with Pairwise Correlations.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Playing Games to Reduce Supervision in Learning.
PhD thesis, 2016

Muffled Semi-Supervised Learning.
CoRR, 2016

Learning to Abstain from Binary Prediction.
CoRR, 2016

Sequential Nonparametric Testing with the Law of the Iterated Logarithm.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Optimal Binary Classifier Aggregation for General Losses.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Instance-dependent Regret Bounds for Dueling Bandits.
Proceedings of the 29th Conference on Learning Theory, 2016

2015
Minimax Binary Classifier Aggregation with General Losses.
CoRR, 2015

Scalable Semi-Supervised Classifier Aggregation.
CoRR, 2015

PAC-Bayes with Minimax for Confidence-Rated Transduction.
CoRR, 2015

The Utility of Abstaining in Binary Classification.
CoRR, 2015

PAC-Bayes Iterated Logarithm Bounds for Martingale Mixtures.
CoRR, 2015

Scalable Semi-Supervised Aggregation of Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Optimally Combining Classifiers Using Unlabeled Data.
Proceedings of The 28th Conference on Learning Theory, 2015

2014
Sharp Uniform Martingale Concentration Bounds.
CoRR, 2014

2013
The Fast Convergence of Incremental PCA.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013


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