Aaditya Ramdas
According to our database^{1},
Aaditya Ramdas
authored at least 59 papers
between 2012 and 2021.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis OtherLinks
Online presence:

on orcid.org
On csauthors.net:
Bibliography
2021
Nonparametric IteratedLogarithm Extensions of the Sequential Generalized Likelihood Ratio Test.
IEEE J. Sel. Areas Inf. Theory, 2021
J. Mach. Learn. Res., 2021
CoRR, 2021
CoRR, 2021
Sequential Estimation of Convex Divergences using Reverse Submartingales and Exchangeable Filtrations.
CoRR, 2021
Distributionfree uncertainty quantification for classification under label shift.
CoRR, 2021
How can one test if a binary sequence is exchangeable? Forkconvex hulls, supermartingales, and Snell envelopes.
CoRR, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
DistributionFree Calibration Guarantees for Histogram Binning without Sample Splitting.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Algorithmic Learning Theory, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Distributionfree binary classification: prediction sets, confidence intervals and calibration.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 13th International Conference on Educational Data Mining, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
IEEE Trans. Inf. Theory, 2019
SIAM J. Math. Data Sci., 2019
CoRR, 2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
SIAM J. Matrix Anal. Appl., 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
SIAM J. Sci. Comput., 2017
Entropy, 2017
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
QuTE: Decentralized multiple testing on sensor networks with false discovery rate control.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
Optim. Methods Softw., 2016
CoRR, 2016
CoRR, 2016
CoRR, 2016
Asymptotic behavior of ℓ<sub>p</sub>based Laplacian regularization in semisupervised learning.
CoRR, 2016
Proceedings of the ThirtySecond Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
2015
Convergence Properties of the Randomized Extended GaussSeidel and Kaczmarz Methods.
SIAM J. Matrix Anal. Appl., 2015
Adaptivity and ComputationStatistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing.
CoRR, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the TwentyFourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the TwentyFourth International Joint Conference on Artificial Intelligence, 2015
On the High Dimensional Power of a LinearTime Two Sample Test under Meanshift Alternatives.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions.
Proceedings of the TwentyNinth AAAI Conference on Artificial Intelligence, 2015
2014
CoRR, 2014
CoRR, 2014
On the Highdimensional Power of Lineartime Kernel TwoSample Testing under Meandifference Alternatives.
CoRR, 2014
Rows vs Columns for Linear Systems of Equations  Randomized Kaczmarz or Coordinate Descent?
CoRR, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Algorithmic Connections between Active Learning and Stochastic Convex Optimization.
Proceedings of the Algorithmic Learning Theory  24th International Conference, 2013
2012
CoRR, 2012