Biswajit Paria

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 21

Top Topics

Top Venues

Publications

Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting. UAI (2023)
Sachin Kumar, Biswajit Paria, Yulia Tsvetkov
Constrained Sampling from Language Models via Langevin Dynamics in Embedding Spaces. CoRR (2022)
Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen
A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting. CoRR (2022)
Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger
An Experimental Design Perspective on Model-Based Reinforcement Learning. ICLR (2022)
Sachin Kumar, Biswajit Paria, Yulia Tsvetkov
Gradient-based Constrained Sampling from Language Models. EMNLP (2022)
Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger
An Experimental Design Perspective on Model-Based Reinforcement Learning. CoRR (2021)
Biswajit Paria, Rajat Sen, Amr Ahmed, Abhimanyu Das
Hierarchically Regularized Deep Forecasting. CoRR (2021)
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 (2020)
Biswajit Paria, Chih-Kuan Yeh, Ian En-Hsu Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos
Minimizing FLOPs to Learn Efficient Sparse Representations. ICLR (2020)
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 (2020)
Biswajit Paria, Chih-Kuan Yeh, Ian En-Hsu Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos
Minimizing FLOPs to Learn Efficient Sparse Representations. CoRR (2020)
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 (2019)
Biswajit Paria, Kirthevasan Kandasamy, Barnabás Póczos
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations. UAI (2019)
Biswajit Paria, Kirthevasan Kandasamy, Barnabás Póczos
A Flexible Multi-Objective Bayesian Optimization Approach using Random Scalarizations. CoRR (2018)
Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas
Forward Stagewise Additive Model for Collaborative Multiview Boosting. IEEE Trans. Neural Networks Learn. Syst. 29 (2) (2018)
Biswajit Paria, Avisek Lahiri, Prabir Kumar Biswas
PolicyGAN: Training generative adversarial networks using policy gradient. ICAPR (2017)
Ashwin Guha, Muni Sreenivas Pydi, Biswajit Paria, Ambedkar Dukkipati
Analytic Connectivity in General Hypergraphs. CoRR (2017)
Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas
Forward Stagewise Additive Model for Collaborative Multiview Boosting. CoRR (2016)
Biswajit Paria, K. M. Annervaz, Ambedkar Dukkipati, Ankush Chatterjee, Sanjay Podder
A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference. CoRR (2016)
Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas
COMA-boost: co-operative multi agent AdaBoost. ICVGIP (2016)
Biswajit Paria, Anirban Santara, Pabitra Mitra
Visualization Regularizers for Neural Network based Image Recognition. CoRR (2016)
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)