Biswajit Paria
5 papers · 2019–2022 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(4)
Artificial Intelligence
(2)
Deep Learning
(2)
Core AI
(2)
Core Methods
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Generation
(1)
Learning Types
(1)
Methods
(1)
Models
(1)
Keywords
acquisition function
(2)
bayesian optimization
(2)
metric learning
(1)
sparse representation
(1)
gradient-based optimization
(1)
text generation
(1)
neural architecture search
(1)
efficient computing
(1)
markov decision process
(1)
continuous control
(1)
model-based reinforcement learning
(1)
hyperparameter tuning
(1)
multi-objective optimization
(1)
constrained sampling
(1)
regret bound
(1)
sublinear regret
(1)
language model
(1)
data efficiency
(1)
pareto front
(1)
multi-fidelity optimization
(1)
Papers
An Experimental Design Perspective on Model-Based Reinforcement Learning
ICLR 2022
Gradient-based Constrained Sampling from Language Models
EMNLP 2022
Minimizing FLOPs to Learn Efficient Sparse Representations
ICLR 2020
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
JMLR 2020
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations
UAI 2019