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Books and Theses
- 2022
[b1]Biswajit Paria:
Strategies for Black-Box and Multi-Objective Optimization. Carnegie Mellon University, USA, 2022
Journal Articles
- 2020
- [j2]Kirthevasan Kandasamy, Karun Raju Vysyaraju, Willie Neiswanger, Biswajit Paria, Christopher R. Collins, Jeff Schneider, Barnabás Póczos, Eric P. Xing:
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly. J. Mach. Learn. Res. 21: 81:1-81:27 (2020) - 2018
- [j1]Avisek Lahiri
, Biswajit Paria, Prabir Kumar Biswas:
Forward Stagewise Additive Model for Collaborative Multiview Boosting. IEEE Trans. Neural Networks Learn. Syst. 29(2): 470-485 (2018)
Conference and Workshop Papers
- 2023
- [c8]Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen:
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting. UAI 2023: 518-528 - 2022
- [c7]Sachin Kumar, Biswajit Paria, Yulia Tsvetkov:
Gradient-based Constrained Sampling from Language Models. EMNLP 2022: 2251-2277 - [c6]Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger:
An Experimental Design Perspective on Model-Based Reinforcement Learning. ICLR 2022 - 2020
- [c5]Biswajit Paria, Chih-Kuan Yeh, Ian En-Hsu Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos:
Minimizing FLOPs to Learn Efficient Sparse Representations. ICLR 2020 - 2019
- [c4]Biswajit Paria, Kirthevasan Kandasamy, Barnabás Póczos:
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations. UAI 2019: 766-776 - 2017
- [c3]Biswajit Paria, Avisek Lahiri, Prabir Kumar Biswas:
PolicyGAN: Training generative adversarial networks using policy gradient. ICAPR 2017: 1-6 - 2016
- [c2]Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas:
COMA-boost: co-operative multi agent AdaBoost. ICVGIP 2016: 43:1-43:8 - 2015
- [c1]Sandipan Sikdar, Marcin Bodych, Rajib Ranjan Maiti, Biswajit Paria, Niloy Ganguly, Tyll Krueger, Animesh Mukherjee:
On the broadcast of segmented messages in dynamic networks. INFOCOM Workshops 2015: 426-431
Informal and Other Publications
- 2022
- [i12]Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen:
A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting. CoRR abs/2204.10414 (2022) - [i11]Sachin Kumar, Biswajit Paria, Yulia Tsvetkov:
Constrained Sampling from Language Models via Langevin Dynamics in Embedding Spaces. CoRR abs/2205.12558 (2022) - 2021
- [i10]Biswajit Paria, Rajat Sen, Amr Ahmed, Abhimanyu Das:
Hierarchically Regularized Deep Forecasting. CoRR abs/2106.07630 (2021) - [i9]Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger:
An Experimental Design Perspective on Model-Based Reinforcement Learning. CoRR abs/2112.05244 (2021) - 2020
- [i8]Adarsh Dave, Jared Mitchell, Kirthevasan Kandasamy, Sven Burke, Biswajit Paria, Barnabás Póczos, Jay Whitacre, Venkatasubramanian Viswanathan:
Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning. CoRR abs/2001.09938 (2020) - [i7]Biswajit Paria, Chih-Kuan Yeh, Ian En-Hsu Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos:
Minimizing FLOPs to Learn Efficient Sparse Representations. CoRR abs/2004.05665 (2020) - 2019
- [i6]Kirthevasan Kandasamy, Karun Raju Vysyaraju, Willie Neiswanger, Biswajit Paria, Christopher R. Collins, Jeff Schneider, Barnabás Póczos, Eric P. Xing:
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly. CoRR abs/1903.06694 (2019) - 2018
- [i5]Biswajit Paria, Kirthevasan Kandasamy, Barnabás Póczos:
A Flexible Multi-Objective Bayesian Optimization Approach using Random Scalarizations. CoRR abs/1805.12168 (2018) - 2017
- [i4]Ashwin Guha, Muni Sreenivas Pydi, Biswajit Paria, Ambedkar Dukkipati:
Analytic Connectivity in General Hypergraphs. CoRR abs/1701.04548 (2017) - 2016
- [i3]Biswajit Paria, Anirban Santara, Pabitra Mitra:
Visualization Regularizers for Neural Network based Image Recognition. CoRR abs/1604.02646 (2016) - [i2]Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas:
Forward Stagewise Additive Model for Collaborative Multiview Boosting. CoRR abs/1608.01874 (2016) - [i1]Biswajit Paria, K. M. Annervaz, Ambedkar Dukkipati, Ankush Chatterjee, Sanjay Podder:
A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference. CoRR abs/1611.04741 (2016)
Coauthor Index
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