Akshay Balsubramani

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 18

Top Venues

CoRR

NIPS

ICLR (Poster)

COLT

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Jacob Schreiber, Surag Nair, Akshay Balsubramani, Anshul Kundaje
saturation mutagenesis using compressed sensing. Bioinform. 38 (14) (2022)
Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton Earnshaw, Imran Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang
WILDS: A Benchmark of in-the-Wild Distribution Shifts. ICML (2021)
Ruishan Liu, Akshay Balsubramani, James Zou
Learning transport cost from subset correspondence. ICLR (2020)
Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang
WILDS: A Benchmark of in-the-Wild Distribution Shifts. CoRR (2020)
Akshay Balsubramani
Sharp finite-sample large deviation bounds for independent variables. CoRR (2020)
Ruishan Liu, Akshay Balsubramani, James Zou
Learning transport cost from subset correspondence. CoRR (2019)
Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, Shay Moran
An adaptive nearest neighbor rule for classification. NeurIPS (2019)
Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, Shay Moran
An adaptive nearest neighbor rule for classification. CoRR (2019)
Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian J. McAuley
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks. ICLR (Poster) (2018)
Akshay Balsubramani
Linking Generative Adversarial Learning and Binary Classification. CoRR (2017)
Chris Donahue, Akshay Balsubramani, Julian J. McAuley, Zachary C. Lipton
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks. CoRR (2017)
Akshay Balsubramani
Optimal Binary Autoencoding with Pairwise Correlations. ICLR (Poster) (2017)
Akshay Balsubramani
Optimal Binary Autoencoding with Pairwise Correlations. CoRR (2016)
Akshay Balsubramani
Learning to Abstain from Binary Prediction. CoRR (2016)
Akshay Balsubramani, Zohar S. Karnin, Robert E. Schapire, Masrour Zoghi
Instance-dependent Regret Bounds for Dueling Bandits. COLT (2016)
Akshay Balsubramani, Yoav Freund
Optimal Binary Classifier Aggregation for General Losses. NIPS (2016)
Akshay Balsubramani, Yoav Freund
Muffled Semi-Supervised Learning. CoRR (2016)
Akshay Balsubramani, Aaditya Ramdas
Sequential Nonparametric Testing with the Law of the Iterated Logarithm. UAI (2016)
Akshay Balsubramani
The Utility of Abstaining in Binary Classification. CoRR (2015)
Akshay Balsubramani
PAC-Bayes Iterated Logarithm Bounds for Martingale Mixtures. CoRR (2015)
Akshay Balsubramani, Yoav Freund
Optimally Combining Classifiers Using Unlabeled Data. CoRR (2015)
Aaditya Ramdas, Akshay Balsubramani
Sequential Nonparametric Testing with the Law of the Iterated Logarithm. CoRR (2015)
Akshay Balsubramani, Yoav Freund
Scalable Semi-Supervised Classifier Aggregation. CoRR (2015)
Akshay Balsubramani, Yoav Freund
Scalable Semi-Supervised Aggregation of Classifiers. NIPS (2015)
Akshay Balsubramani, Yoav Freund
Minimax Binary Classifier Aggregation with General Losses. CoRR (2015)
Akshay Balsubramani, Yoav Freund
PAC-Bayes with Minimax for Confidence-Rated Transduction. CoRR (2015)
Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund
The Fast Convergence of Incremental PCA. CoRR (2015)
Akshay Balsubramani, Yoav Freund
Optimally Combining Classifiers Using Unlabeled Data. COLT (2015)
Akshay Balsubramani
Sharp Uniform Martingale Concentration Bounds. CoRR (2014)
Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund
The Fast Convergence of Incremental PCA. NIPS (2013)

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Publication Activity (10 Years)

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Akshay Balsubramani