Biswajit Paria
Biswajit Paria
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Tuning hyperparameters without grad students: Scalable and robust bayesian optimisation with dragonfly
K Kandasamy, KR Vysyaraju, W Neiswanger, B Paria, CR Collins, ...
The Journal of Machine Learning Research 21 (1), 3098-3124, 2020
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations
B Paria, K Kandasamy, B Póczos
Uncertainty in Artificial Intelligence (UAI), 267, 2019
Autonomous discovery of battery electrolytes with robotic experimentation and machine learning
A Dave, J Mitchell, K Kandasamy, H Wang, S Burke, B Paria, B Póczos, ...
Cell Reports Physical Science 1 (12), 100264, 2020
Minimizing FLOPs to Learn Efficient Sparse Representations
B Paria, CK Yeh, IEH Yen, N Xu, P Ravikumar, B Póczos
International Conference on Learning Representations, 2020
A neural architecture mimicking humans end-to-end for natural language inference
B Paria, KM Annervaz, A Dukkipati, A Chatterjee, S Podder
arXiv preprint arXiv:1611.04741, 2016
Hierarchically regularized deep forecasting
B Paria, R Sen, A Ahmed, A Das
arXiv preprint arXiv:2106.07630, 2021
An experimental design perspective on model-based reinforcement learning
V Mehta, B Paria, J Schneider, S Ermon, W Neiswanger
arXiv preprint arXiv:2112.05244, 2021
Gradient-based constrained sampling from language models
S Kumar, B Paria, Y Tsvetkov
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
Forward stagewise additive model for collaborative multiview boosting
A Lahiri, B Paria, PK Biswas
IEEE Transactions on Neural Networks and Learning Systems 29 (2), 470-485, 2016
Constrained sampling from language models via langevin dynamics in embedding spaces
S Kumar, B Paria, Y Tsvetkov
arXiv preprint arXiv:2205.12558, 2022
Analytic connectivity in general hypergraphs
A Guha, MS Pydi, B Paria, A Dukkipati
arXiv preprint arXiv:1701.04548, 2017
PolicyGAN: Training generative adversarial networks using policy gradient
B Paria, A Lahiri, PK Biswas
2017 Ninth International Conference on Advances in Pattern Recognition …, 2017
Cost-Aware Bayesian Optimization via Information Directed Sampling
B Paria, W Neiswanger, R Ghods, J Schneider, B Póczos
Workshop on Real World Experiment Design and Active Learning at ICML, 2020
COMA-boost: co-operative multi agent AdaBoost
A Lahiri, B Paria, PK Biswas
Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and …, 2016
Regression and Time Series Forecasting
R Sen, NIE Shuxin, Y Li, A Das, N Loeff, AT Suresh, P Awasthi, B Paria
US Patent App. 17/804,082, 2022
Strategies for Black-Box and Multi-Objective Optimization
B Paria
Carnegie Mellon University, 2022
A deep top-down approach to hierarchically coherent probabilistic forecasting
A Das, W Kong, B Paria, R Sen
A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting
A Das, W Kong, B Paria, R Sen
arXiv preprint arXiv:2204.10414, 2022
Autonomous Electrolyte Discovery for Batteries with Experimentally Informed Bayesian Optimization
A Dave, J Mitchell, K Kandasamy, S Burke, B Paria, B Poczos, ...
Electrochemical Society Meeting Abstracts 237, 527-527, 2020
Be Greedy–a Simple Algorithm for Blackbox Optimization using Neural Networks
B Paria, B Pňczos, P Ravikumar, J Schneider, AS Suggala
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