Sotabase

Career

· Software Engineer III, Google2022–
· Intern, Google Research2020–2020
· Intern, Snap Research2018–2018
· M.S., Ph.D. in Machine Learning, Carnegie Mellon University2017–2022
· Intern, University of Southern California2015–2015
· 5-year Bachelors and Masters in Computer Science and Engineering, Indian Institute of Technology Kharagpur2012–2017

Publications (21)

Conference on Uncertainty in Artificial Intelligence · 2018
158
cited
International Conference on Learning Representations · 2020
80
cited
Conference on Empirical Methods in Natural Language Processing · 2022
68
cited
International Conference on Learning Representations · 2021
23
cited
A Flexible Multi-Objective Bayesian Optimization Approach using Random Scalarizations
arXiv.org · 2018
19
cited
Conference on Uncertainty in Artificial Intelligence · 2022
8
cited
IEEE Transactions on Neural Networks and Learning Systems · 2016
6
cited
A Deep Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting
2022
4
cited
Be Greedy – a Simple Algorithm for Blackbox Optimization using Neural Networks
4
cited
Cost-Aware Bayesian Optimization via Information Directed Sampling
2020
2
cited
International Conference on Advances in Pattern Recognition · 2017
2
cited
Indian Conference on Computer Vision, Graphics & Image Processing · 2016
Sotabase
Biswajit Paria | Researcher Profile | Sotabase | Sotabase