Michael Volpp
6 papers · 2019–2023 · 4 conferences · across top CS/AI conferences
Achievements
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๐ Cross-Pollinator (15) ๐ Conference Polyglot (4) ๐บ๏ธ Taxonomy Completionist (13) ๐งญ Keyword Pioneer ๐ Renaissance Researcher (5)
๐
Interdisciplinary Bridge
๐ฅ
Unstoppable
(5)
โ
The Questioner
Conferences
ICLR (3)
CVPR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
stochastic optimization
(1)
deep reinforcement learning
(1)
few-shot learning
(1)
pose estimation
(1)
policy gradient
(1)
domain randomization
(1)
importance sampling
(1)
continuous control
(1)
distribution shift
(1)
off-policy learning
(1)
generalization capability
(1)
bayesian deep learning
(1)
expected calibration error
(1)
deep ensemble
(1)
task augmentation
(1)
conditional neural process
(1)
functional contrastive learning
(1)
vision regression
(1)
Papers
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift
NIPS 2023
Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference
ICLR 2023
What Matters for Meta-Learning Vision Regression Tasks?
CVPR 2022
Bayesian Context Aggregation for Neural Processes
ICLR 2021
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
ICLR 2020
Trajectory-Based Off-Policy Deep Reinforcement Learning
ICML 2019