Michael Volpp
6 papers · 2019–2023 · 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
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze
❓
The Questioner
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Learning Paradigms · Artificial Intelligence
(3)
Optimization & Theory
(3)
Deep Learning
(2)
Bayesian & Probabilistic
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Analysis
(1)
Application Areas
(1)
Core Methods
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
variational inference
(2)
neural process
(2)
few-shot learning
(1)
transfer learning
(1)
pose estimation
(1)
bayesian inference
(1)
policy gradient
(1)
hyperparameter optimization
(1)
epistemic uncertainty
(1)
domain randomization
(1)
gaussian process
(1)
importance sampling
(1)
continuous control
(1)
distribution shift
(1)
off-policy learning
(1)
bayesian optimization
(1)
gaussian mixture model
(1)
acquisition function
(1)
generalization capability
(1)
uncertainty estimation
(1)
Papers
Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference
ICLR 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift
NeurIPS 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