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Vikranth Dwaracherla
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12
Efficient Exploration for LLMs
4 June 2024 by
Vikranth Dwaracherla
and
others
at
Google
Machine Learning
,
Artificial Intelligence
Approximate Thompson Sampling via Epistemic Neural Networks
18 February 2023 by
Ian Osband
and
others
Machine Learning
,
Artificial Intelligence
Robustness of Epinets against Distributional Shifts
1 July 2022 by
Xiuyuan Lu
and
others
Machine Learning
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping
8 June 2022 by
Vikranth Dwaracherla
and
others
Machine Learning
,
Artificial Intelligence
Epistemic Neural Networks
13 April 2022 by
Ian Osband
and
others
Machine Learning
,
Artificial Intelligence
Evaluating High-Order Predictive Distributions in Deep Learning
28 February 2022 by
Ian Osband
and
others
Machine Learning
,
Artificial Intelligence
From Predictions to Decisions: The Importance of Joint Predictive Distributions
1 February 2022 by
Zheng Wen
and
others
Machine Learning
The Neural Testbed: Evaluating Predictive Distributions
1 February 2022 by
Ian Osband
and
others
Machine Learning
,
Artificial Intelligence
Reinforcement Learning, Bit by Bit
14 March 2021 by
Xiuyuan Lu
and
others
Machine Learning
,
Artificial Intelligence
Langevin DQN
23 February 2021 by
Vikranth Dwaracherla
and
Benjamin Van Roy
at
Stanford University
Machine Learning
,
Artificial Intelligence
Hypermodels for Exploration
12 June 2020 by
Vikranth Dwaracherla
and
others
Machine Learning
,
Optimization and Control
Motion-based Object Segmentation based on Dense RGB-D Scene Flow
24 July 2018 by
Lin Shao
and
others
Robotics
,
Computer Vision and Pattern Recognition
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Topics
Machine Learning
Artificial Intelligence
Computation and Language
Methodology
Optimization and Control
Robotics
Computer Vision and Pattern Recognition