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authorId(s): 1920895
Author(s): Biswajit Paria
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164
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
Kirthevasan Kandasamy, Karun Raju Vysyaraju, ..., E. Xing
2019
114
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations
Biswajit Paria, Kirthevasan Kandasamy, B. Póczos
2018
106
Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning
Adarsh Dave, Jared M. Mitchell, ..., V. Viswanathan
2019
55
Minimizing FLOPs to Learn Efficient Sparse Representations
Biswajit Paria, Chih-Kuan Yeh, ..., I. E. Yen
2020
42
Gradient-based Constrained Sampling from Language Models
Sachin Kumar, Biswajit Paria, Yulia Tsvetkov
2022
18
A Flexible Multi-Objective Bayesian Optimization Approach using Random Scalarizations
Biswajit Paria, Kirthevasan Kandasamy, B. Póczos
2018
16
An Experimental Design Perspective on Model-Based Reinforcement Learning
Viraj Mehta, Biswajit Paria, ..., W. Neiswanger
2021
15
Hierarchically Regularized Deep Forecasting
Biswajit Paria, Rajat Sen, ..., Abhimanyu Das
2021
14
Constrained Sampling from Language Models via Langevin Dynamics in Embedding Spaces
Sachin Kumar, Biswajit Paria, Yulia Tsvetkov
2022
13
A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference
Biswajit Paria, K. Annervaz, ..., Sanjay Podder
2016

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