Biswajit Paria

According to our database, Biswajit Paria authored at least 18 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting.

Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Constrained Sampling from Language Models via Langevin Dynamics in Embedding Spaces.

Sachin Kumar, Biswajit Paria, Yulia Tsvetkov

CoRR, 2022

A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting.

Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen

CoRR, 2022

An Experimental Design Perspective on Model-Based Reinforcement Learning.

Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger

Proceedings of the Tenth International Conference on Learning Representations, 2022

Gradient-based Constrained Sampling from Language Models.

Sachin Kumar, Biswajit Paria, Yulia Tsvetkov

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Hierarchically Regularized Deep Forecasting.

Biswajit Paria, Rajat Sen, Amr Ahmed, Abhimanyu Das

CoRR, 2021

2020

Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly.

Kirthevasan Kandasamy, Karun Raju Vysyaraju, Willie Neiswanger, Biswajit Paria, Christopher R. Collins, Jeff Schneider, Barnabás Póczos, Eric P. Xing

J. Mach. Learn. Res., 2020

Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning.

Adarsh Dave, Jared Mitchell, Kirthevasan Kandasamy, Sven Burke, Biswajit Paria, Barnabás Póczos, Jay Whitacre, Venkatasubramanian Viswanathan

CoRR, 2020

Minimizing FLOPs to Learn Efficient Sparse Representations.

Biswajit Paria, Chih-Kuan Yeh, Ian En-Hsu Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations.

Biswajit Paria, Kirthevasan Kandasamy, Barnabás Póczos

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

Forward Stagewise Additive Model for Collaborative Multiview Boosting.

Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas

IEEE Trans. Neural Networks Learn. Syst., 2018

A Flexible Multi-Objective Bayesian Optimization Approach using Random Scalarizations.

Biswajit Paria, Kirthevasan Kandasamy, Barnabás Póczos

CoRR, 2018

2017

Analytic Connectivity in General Hypergraphs.

Ashwin Guha, Muni Sreenivas Pydi, Biswajit Paria, Ambedkar Dukkipati

CoRR, 2017

PolicyGAN: Training generative adversarial networks using policy gradient.

Biswajit Paria, Avisek Lahiri, Prabir Kumar Biswas

Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017

2016

Visualization Regularizers for Neural Network based Image Recognition.

Biswajit Paria, Anirban Santara, Pabitra Mitra

CoRR, 2016

A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference.

Biswajit Paria, K. M. Annervaz, Ambedkar Dukkipati, Ankush Chatterjee, Sanjay Podder

CoRR, 2016

COMA-boost: co-operative multi agent AdaBoost.

Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas

Proceedings of the Tenth Indian Conference on Computer Vision, 2016

2015

On the broadcast of segmented messages in dynamic networks.

Sandipan Sikdar, Marcin Bodych, Rajib Ranjan Maiti, Biswajit Paria, Niloy Ganguly, Tyll Krueger, Animesh Mukherjee

Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015