Balsubramani, Akshay

11 publications

NeurIPSW 2023 CodonBERT: Large Language Models for mRNA Design and Optimization Sizhen Li, Saeed Moayedpour, Ruijiang Li, Michael Bailey, Saleh Riahi, Milad Miladi, Jacob Miner, Dinghai Zheng, Jun Wang, Akshay Balsubramani, Khang Tran, Minnie, Monica Wu, Xiaobo Gu, Ryan Clinton, Carla Asquith, Joseph Skaleski, Lianne Boeglin, Sudha Chivukula, Anusha Dias, Fernando Ulloa Montoya, Vikram Agarwal, Ziv Bar-Joseph, Sven Jager

ICLR 2020 Learning Transport Cost from Subset Correspondence Ruishan Liu, Akshay Balsubramani, James Zou

NeurIPS 2019 An Adaptive Nearest Neighbor Rule for Classification Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, Shay Moran

ICLR 2018 Semantically Decomposing the Latent Spaces of Generative Adversarial Networks Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian McAuley

ICLR 2017 Optimal Binary Autoencoding with Pairwise Correlations Akshay Balsubramani

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

NeurIPS 2016 Optimal Binary Classifier Aggregation for General Losses Akshay Balsubramani, Yoav S Freund

UAI 2016 Sequential Nonparametric Testing with the Law of the Iterated Logarithm Akshay Balsubramani, Aaditya Ramdas

COLT 2015 Optimally Combining Classifiers Using Unlabeled Data Akshay Balsubramani, Yoav Freund

NeurIPS 2015 Scalable Semi-Supervised Aggregation of Classifiers Akshay Balsubramani, Yoav Freund

NeurIPS 2013 The Fast Convergence of Incremental PCA Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund