Shantanu Jain

According to our database, Shantanu Jain authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An algorithm for decoy-free false discovery rate estimation in XL-MS/MS proteomics.

Yisu Peng, Shantanu Jain, Predrag Radivojac

Bioinform., 2024

2023

New Improved Wave Hybrid Models for Short-Term Significant Wave Height Forecasting.

Pritam Anand, Shantanu Jain, Harsh Savaliya

IEEE Access, 2023

Leveraging Structure for Improved Classification of Grouped Biased Data.

Daniel Zeiberg, Shantanu Jain, Predrag Radivojac

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

WebGPT: Browser-assisted question-answering with human feedback.

Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, Xu Jiang, Karl Cobbe, Tyna Eloundou, Gretchen Krueger, Kevin Button, Matthew Knight, Benjamin Chess, John Schulman

CoRR, 2021

Evaluating Large Language Models Trained on Code.

Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Pondé de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Joshua Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba

CoRR, 2021

2020

New mixture models for decoy-free false discovery rate estimation in mass spectrometry proteomics.

Yisu Peng, Shantanu Jain, Yong Fuga Li, Michal Gregus, Alexander R. Ivanov, Olga Vitek, Predrag Radivojac

Bioinform., 2020

Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting.

Daniel Zeiberg, Shantanu Jain, Predrag Radivojac

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Class Prior Estimation with Biased Positives and Unlabeled Examples.

Shantanu Jain, Justin Delano, Himanshu Sharma, Predrag Radivojac

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies.

Rashika Ramola, Shantanu Jain, Predrag Radivojac

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2018

Doubly Label Consistent Autoencoder: Accounting User and Item Metadata in Recommender Systems.

Shantanu Jain, Angshul Majumdar

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Recovering True Classifier Performance in Positive-Unlabeled Learning.

Shantanu Jain, Martha White, Predrag Radivojac

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

The Loss and Gain of Functional Amino Acid Residues Is a Common Mechanism Causing Human Inherited Disease.

Jose Lugo-Martinez, Vikas Pejaver, Kymberleigh A. Pagel, Shantanu Jain, Matthew E. Mort, David N. Cooper, Sean D. Mooney, Predrag Radivojac

PLoS Comput. Biol., 2016

Nonparametric semi-supervised learning of class proportions.

Shantanu Jain, Martha White, Michael W. Trosset, Predrag Radivojac

CoRR, 2016

Estimating the class prior and posterior from noisy positives and unlabeled data.

Shantanu Jain, Martha White, Predrag Radivojac

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016