Vikranth Dwaracherla
6 papers · 2020–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(5)
Deep Learning
(4)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Techniques
(2)
Reinforcement Learning
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Methods
(1)
Models
(1)
Keywords
thompson sampling
(3)
epistemic neural network
(3)
joint prediction
(3)
uncertainty estimation
(2)
neural network
(2)
predictive distribution
(2)
human feedback
(1)
efficient exploration
(1)
ensemble method
(1)
reward model
(1)
bayesian deep learning
(1)
large language model
(1)
marginal prediction
(1)
dyadic sampling
(1)
approximate inference
(1)
bandit environment
(1)
bayesian inference
(1)
uncertainty quantification
(1)
epistemic uncertainty
(1)
supervised learning
(1)
Papers
Efficient Exploration for LLMs
ICML 2024
Approximate Thompson Sampling via Epistemic Neural Networks
UAI 2023
Epistemic Neural Networks
NeurIPS 2023
Evaluating high-order predictive distributions in deep learning
UAI 2022
The Neural Testbed: Evaluating Joint Predictions
NeurIPS 2022
Hypermodels for Exploration
ICLR 2020