The Fast Convergence of Incremental PCA. - Akshay Balsubramani; Sanjoy Dasgupta; Yoav Freund (NIPS, 2013)

Sharp Uniform Martingale Concentration Bounds. - Akshay Balsubramani (CoRR, 2014)

Optimally Combining Classifiers Using Unlabeled Data. - Akshay Balsubramani; Yoav Freund (COLT, 2015)

Scalable Semi-Supervised Aggregation of Classifiers. - Akshay Balsubramani; Yoav Freund (NIPS, 2015)

PAC-Bayes Iterated Logarithm Bounds for Martingale Mixtures. - Akshay Balsubramani (CoRR, 2015)

The Utility of Abstaining in Binary Classification. - Akshay Balsubramani (CoRR, 2015)

PAC-Bayes with Minimax for Confidence-Rated Transduction. - Akshay Balsubramani; Yoav Freund (CoRR, 2015)

Scalable Semi-Supervised Classifier Aggregation. - Akshay Balsubramani; Yoav Freund (CoRR, 2015)

Minimax Binary Classifier Aggregation with General Losses. - Akshay Balsubramani; Yoav Freund (CoRR, 2015)

Instance-dependent Regret Bounds for Dueling Bandits. - Akshay Balsubramani; Zohar S. Karnin; Robert E. Schapire; Masrour Zoghi (COLT, 2016)

Optimal Binary Classifier Aggregation for General Losses. - Akshay Balsubramani; Yoav Freund (NIPS, 2016)

Sequential Nonparametric Testing with the Law of the Iterated Logarithm. - Akshay Balsubramani; Aaditya Ramdas (UAI, 2016)

Learning to Abstain from Binary Prediction. - Akshay Balsubramani (CoRR, 2016)

Muffled Semi-Supervised Learning. - Akshay Balsubramani; Yoav Freund (CoRR, 2016)

Playing Games to Reduce Supervision in Learning. - Akshay Balsubramani (2016)

Optimal Binary Autoencoding with Pairwise Correlations. - Akshay Balsubramani (ICLR (Poster), 2017)

Linking Generative Adversarial Learning and Binary Classification. - Akshay Balsubramani (CoRR, 2017)

Semantically Decomposing the Latent Spaces of Generative Adversarial Networks. - Chris Donahue; Zachary C. Lipton; Akshay Balsubramani; Julian J. McAuley (ICLR (Poster), 2018)

An adaptive nearest neighbor rule for classification. - Akshay Balsubramani; Sanjoy Dasgupta; Yoav Freund; Shay Moran (NeurIPS, 2019)

Learning transport cost from subset correspondence. - Ruishan Liu; Akshay Balsubramani; James Zou 001 (ICLR, 2020)

Sharp finite-sample large deviation bounds for independent variables. - Akshay Balsubramani (CoRR, 2020)

WILDS: A Benchmark of in-the-Wild Distribution Shifts. - 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; et al. (CoRR, 2020)

WILDS: A Benchmark of in-the-Wild Distribution Shifts. - 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; et al. (ICML, 2021)

Accelerating in silico saturation mutagenesis using compressed sensing. - Jacob M. Schreiber; Surag Nair; Akshay Balsubramani; Anshul Kundaje (Bioinform., 2022)

Entropy, concentration, and learning: a statistical mechanics primer. - Akshay Balsubramani (CoRR, 2024)

Growth-Optimal E-Variables and an extension to the multivariate Csiszár-Sanov-Chernoff Theorem. - Peter Grünwald; Yunda Hao; Akshay Balsubramani (CoRR, 2024)

Laws of thermodynamics for exponential families. - Akshay Balsubramani (CoRR, 2025)