Shantanu Jain

18 papers A* 4B 1Misc 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Are Your Fairness Metrics Accurate? A Semi-Supervised Approach to Improving Fairness Estimates Under Sample Selection Bias.
KDD (2)
M. Clara De Paolis Kaluza, Thulasi Tholeti, Yile Chen, Ricardo Baeza-Yates, Predrag Radivojac, Shantanu Jain
2024 J jnl
An algorithm for decoy-free false discovery rate estimation in XL-MS/MS proteomics.
Bioinform.
Yisu Peng, Shantanu Jain, Predrag Radivojac
2023 A* conf
Leveraging Structure for Improved Classification of Grouped Biased Data.
AAAI
Daniel Zeiberg, Shantanu Jain, Predrag Radivojac
2023 J jnl
New Improved Wave Hybrid Models for Short-Term Significant Wave Height Forecasting.
IEEE Access
Pritam Anand, Shantanu Jain, Harsh Savaliya
2022 J jnl
Leveraging Structure for Improved Classification of Grouped Biased Data.
CoRR
Daniel Zeiberg, Shantanu Jain, Predrag Radivojac
2021 J jnl
Evaluating Large Language Models Trained on Code.
CoRR
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
2021 J jnl
WebGPT: Browser-assisted question-answering with human feedback.
CoRR
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
2020 A* conf
Class Prior Estimation with Biased Positives and Unlabeled Examples.
AAAI
Shantanu Jain, Justin Delano, Himanshu Sharma, Predrag Radivojac
2020 A* conf
Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting.
AAAI
Daniel Zeiberg, Shantanu Jain, Predrag Radivojac
2020 J jnl
New mixture models for decoy-free false discovery rate estimation in mass spectrometry proteomics.
Bioinform.
Yisu Peng, Shantanu Jain, Yong Fuga Li, Michal Gregus, Alexander R. Ivanov, Olga Vitek, Predrag Radivojac
2019 Misc conf
Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies.
PSB
Rashika Ramola, Shantanu Jain, Predrag Radivojac
2018 B conf
Doubly Label Consistent Autoencoder: Accounting User and Item Metadata in Recommender Systems.
IJCNN
Shantanu Jain, Angshul Majumdar
2017 A* conf
Recovering True Classifier Performance in Positive-Unlabeled Learning.
AAAI
Shantanu Jain, Martha White, Predrag Radivojac
2017 J jnl
Recovering True Classifier Performance in Positive-Unlabeled Learning.
CoRR
Shantanu Jain, Martha White, Predrag Radivojac
2016 — conf
Estimating the class prior and posterior from noisy positives and unlabeled data.
NIPS
Shantanu Jain, Martha White, Predrag Radivojac
2016 J jnl
Estimating the class prior and posterior from noisy positives and unlabeled data.
CoRR
Shantanu Jain, Martha White, Predrag Radivojac
2016 J jnl
Nonparametric semi-supervised learning of class proportions.
CoRR
Shantanu Jain, Martha White, Michael W. Trosset, Predrag Radivojac
2016 J jnl
The Loss and Gain of Functional Amino Acid Residues Is a Common Mechanism Causing Human Inherited Disease.
PLoS Comput. Biol.
Jose Lugo-Martinez, Vikas Pejaver, Kymberleigh A. Pagel, Shantanu Jain, Matthew E. Mort, David N. Cooper, Sean D. Mooney, Predrag Radivojac