Paria, Biswajit
- A Flexible Framework for Multi-Objective Bayesian Optimization using\n Random Scalarizations
2018/05/30 by Biswajit Paria, Paria, Biswajit, Kirthevasan Kandasamy +3 · 14 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Minimizing FLOPs to Learn Efficient Sparse Representations
2020/04/12 by Paria, Biswajit, Yeh, Chih-Kuan, Yen, Ian E. H. +3 · 6 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Gradient-Based Constrained Sampling from Language Models
2022/05/25 by Kumar, Sachin, Paria, Biswajit, Tsvetkov, Yulia · 4 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
2019/03/15 by Kirthevasan Kandasamy, Kandasamy, Kirthevasan, Karun Raju Vysyaraju +13 · 2 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting
2022/04/21 by Abhimanyu Das, Weihao Kong, Das, Abhimanyu +5 · 1 citation
Engineering · Decision Sciences · Computer Science · #Energy Load and Power Forecasting #Forecasting Techniques and Applications #Bayesian Modeling and Causal Inference