Akshay Balsubramani

35 papers A* 5A 1Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Laws of thermodynamics for exponential families. CoRR Akshay Balsubramani
2024	J	`jnl`	Entropy, concentration, and learning: a statistical mechanics primer. CoRR Akshay Balsubramani
2024	J	`jnl`	Growth-Optimal E-Variables and an extension to the multivariate Csiszár-Sanov-Chernoff Theorem. CoRR Peter Grünwald, Yunda Hao, Akshay Balsubramani
2024	J	`jnl`	Representations of lipid nanoparticles using large language models for transfection efficiency prediction. Bioinform. Saeed Moayedpour, Jonathan Broadbent, Saleh Riahi, Michael Bailey, Hoa V. Thu, Dimitar A. Dobchev, Akshay Balsubramani, Ricardo N. D. Santos, Lorenzo Kogler-Anele, Alejandro Corrochano-Navarro, Sizhen Li, Fernando U. Montoya, Vikram Agarwal, Ziv Bar-Joseph, Sven Jager
2022	J	`jnl`	Accelerating Bioinform. Jacob M. Schreiber, Surag Nair, Akshay Balsubramani, Anshul Kundaje
2021	A*	`conf`	WILDS: A Benchmark of in-the-Wild Distribution Shifts. ICML 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 S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang
2020	A*	`conf`	Learning transport cost from subset correspondence. ICLR Ruishan Liu, Akshay Balsubramani, James Zou
2020	J	`jnl`	Sharp finite-sample large deviation bounds for independent variables. CoRR Akshay Balsubramani
2020	J	`jnl`	WILDS: A Benchmark of in-the-Wild Distribution Shifts. CoRR 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
2019	A*	`conf`	An adaptive nearest neighbor rule for classification. NeurIPS Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, Shay Moran
2019	J	`jnl`	An adaptive nearest neighbor rule for classification. CoRR Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, Shay Moran
2019	J	`jnl`	Learning transport cost from subset correspondence. CoRR Ruishan Liu, Akshay Balsubramani, James Zou
2018	—	`conf`	Semantically Decomposing the Latent Spaces of Generative Adversarial Networks. ICLR (Poster) Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian J. McAuley
2017	J	`jnl`	Linking Generative Adversarial Learning and Binary Classification. CoRR Akshay Balsubramani
2017	—	`conf`	Optimal Binary Autoencoding with Pairwise Correlations. ICLR (Poster) Akshay Balsubramani
2017	J	`jnl`	Semantically Decomposing the Latent Spaces of Generative Adversarial Networks. CoRR Chris Donahue, Akshay Balsubramani, Julian J. McAuley, Zachary C. Lipton
2016	A*	`conf`	Instance-dependent Regret Bounds for Dueling Bandits. COLT Akshay Balsubramani, Zohar S. Karnin, Robert E. Schapire, Masrour Zoghi
2016	J	`jnl`	Learning to Abstain from Binary Prediction. CoRR Akshay Balsubramani
2016	J	`jnl`	Muffled Semi-Supervised Learning. CoRR Akshay Balsubramani, Yoav Freund
2016	J	`jnl`	Optimal Binary Autoencoding with Pairwise Correlations. CoRR Akshay Balsubramani
2016	—	`conf`	Optimal Binary Classifier Aggregation for General Losses. NIPS Akshay Balsubramani, Yoav Freund
2016	—	`—`	Playing Games to Reduce Supervision in Learning. Akshay Balsubramani
2016	A	`conf`	Sequential Nonparametric Testing with the Law of the Iterated Logarithm. UAI Akshay Balsubramani, Aaditya Ramdas
2015	J	`jnl`	Minimax Binary Classifier Aggregation with General Losses. CoRR Akshay Balsubramani, Yoav Freund
2015	A*	`conf`	Optimally Combining Classifiers Using Unlabeled Data. COLT Akshay Balsubramani, Yoav Freund
2015	J	`jnl`	Optimally Combining Classifiers Using Unlabeled Data. CoRR Akshay Balsubramani, Yoav Freund
2015	J	`jnl`	PAC-Bayes Iterated Logarithm Bounds for Martingale Mixtures. CoRR Akshay Balsubramani
2015	J	`jnl`	PAC-Bayes with Minimax for Confidence-Rated Transduction. CoRR Akshay Balsubramani, Yoav Freund
2015	—	`conf`	Scalable Semi-Supervised Aggregation of Classifiers. NIPS Akshay Balsubramani, Yoav Freund
2015	J	`jnl`	Scalable Semi-Supervised Classifier Aggregation. CoRR Akshay Balsubramani, Yoav Freund
2015	J	`jnl`	Sequential Nonparametric Testing with the Law of the Iterated Logarithm. CoRR Aaditya Ramdas, Akshay Balsubramani
2015	J	`jnl`	The Fast Convergence of Incremental PCA. CoRR Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund
2015	J	`jnl`	The Utility of Abstaining in Binary Classification. CoRR Akshay Balsubramani
2014	J	`jnl`	Sharp Uniform Martingale Concentration Bounds. CoRR Akshay Balsubramani
2013	—	`conf`	The Fast Convergence of Incremental PCA. NIPS Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund