Vikranth Dwaracherla
6 papers · 2020–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π
Conference Polyglot
(4)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π
Cross-Pollinator
(15)
Conferences
NIPS (2)
UAI (2)
ICLR (1)
ICML (1)
Top co-authors
Keywords
joint prediction
(3)
predictive distribution
(2)
epistemic neural network
(2)
uncertainty estimation
(2)
posterior distribution
(1)
thompson sampling
(1)
ensemble method
(1)
bayesian deep learning
(1)
neural network
(1)
marginal prediction
(1)
dyadic sampling
(1)
approximate inference
(1)
bandit environment
(1)
bayesian inference
(1)
uncertainty quantification
(1)
supervised learning
(1)
Papers
Efficient Exploration for LLMs
ICML 2024
Epistemic Neural Networks
NIPS 2023
Approximate Thompson Sampling via Epistemic Neural Networks
UAI 2023
The Neural Testbed: Evaluating Joint Predictions
NIPS 2022
Evaluating high-order predictive distributions in deep learning
UAI 2022
Hypermodels for Exploration
ICLR 2020