Akshay Balsubramani
Akshay Balsubramani
Octant Bio
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Title
Cited by
Cited by
Year
The fast convergence of incremental PCA
A Balsubramani, S Dasgupta, Y Freund
Advances in Neural Information Processing Systems (NIPS), 2013, 2013
1462013
The Human Tumor Atlas Network: charting tumor transitions across space and time at single-cell resolution
O Rozenblatt-Rosen, A Regev, P Oberdoerffer, T Nawy, A Hupalowska, ...
Cell 181 (2), 236-249, 2020
1252020
Semantically decomposing the latent spaces of generative adversarial networks
C Donahue, ZC Lipton, A Balsubramani, J McAuley
International Conference on Learning Representations (ICLR), 2018, 2018
972018
Wilds: A benchmark of in-the-wild distribution shifts
PW Koh, S Sagawa, SM Xie, M Zhang, A Balsubramani, W Hu, ...
International Conference on Machine Learning, 5637-5664, 2021
83*2021
Sequential nonparametric testing with the law of the iterated logarithm
A Balsubramani, A Ramdas
Uncertainty in Artificial Intelligence (UAI), 2016, 2016
50*2016
Sharp finite-time iterated-logarithm martingale concentration
A Balsubramani
arXiv preprint arXiv:1405.2639, 2014
36*2014
Optimally combining classifiers using unlabeled data
A Balsubramani, Y Freund
Conference on Learning Theory, 211-225, 2015
302015
Scalable semi-supervised classifier aggregation
A Balsubramani, Y Freund
Advances in Neural Information Processing Systems, 1351-1359, 2015
23*2015
A genome-wide atlas of co-essential modules assigns function to uncharacterized genes
M Wainberg, RA Kamber, A Balsubramani, RM Meyers, ...
Nature Genetics 53 (5), 638-649, 2021
182021
Learning to abstain from binary prediction
A Balsubramani
arXiv preprint arXiv:1602.08151, 2016
112016
Instance-dependent regret bounds for dueling bandits
A Balsubramani, Z Karnin, RE Schapire, M Zoghi
Conference on Learning Theory, 336-360, 2016
102016
An adaptive nearest neighbor rule for classification
A Balsubramani, S Dasgupta, S Moran
Advances in Neural Information Processing Systems 32, 7579-7588, 2019
92019
Optimal binary classifier aggregation for general losses
A Balsubramani, Y Freund
arXiv preprint arXiv:1510.00452, 2015
8*2015
Learning transport cost from subset correspondence
R Liu, A Balsubramani, J Zou
arXiv preprint arXiv:1909.13203, 2019
32019
Domain adaptive neural networks improve cross-species prediction of transcription factor binding
K Cochran, D Srivastava, A Shrikumar, A Balsubramani, A Kundaje, ...
bioRxiv, 2021
12021
Muffled semi-supervised learning
A Balsubramani, Y Freund
arXiv preprint arXiv:1605.08833, 2016
12016
Pac-bayes iterated logarithm bounds for martingale mixtures
A Balsubramani
arXiv preprint arXiv:1506.06573, 2015
12015
PAC-Bayes with Minimax for Confidence-Rated Transduction
A Balsubramani, Y Freund
arXiv preprint arXiv:1501.03838, 2015
12015
p-value peeking and estimating extrema
A Balsubramani
arXiv preprint arXiv:2011.01343, 2020
2020
Sharp finite-sample concentration of independent variables
A Balsubramani
arXiv preprint arXiv:2008.13293, 2020
2020
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