Jeff G. Schneider
7 papers · 2008–2023 · 1 venue · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(6)
Core Methods
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Learning Types
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Artificial Intelligence
(3)
Data Science & Analytics
(2)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Applications
(2)
Bayesian & Probabilistic
(2)
Core AI
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Methods
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Optimization
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Computer Vision
(1)
Natural Language Processing
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Analysis
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Keywords
covariance estimation
(2)
deep reinforcement learning
(1)
locomotion control
(1)
semi-supervised learning
(1)
multi-task learning
(1)
probabilistic modeling
(1)
sample efficiency
(1)
anomaly detection
(1)
text classification
(1)
uncertainty quantification
(1)
policy learning
(1)
unsupervised learning
(1)
exploration planning
(1)
feature representation
(1)
time series
(1)
l1 regularization
(1)
quantile regression
(1)
pinball loss
(1)
model-based reinforcement learning
(1)
time series analysis
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Papers
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks
NeurIPS 2023
Exploration via Planning for Information about the Optimal Trajectory
NeurIPS 2022
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
NeurIPS 2021
Group Anomaly Detection using Flexible Genre Models
NeurIPS 2011
Learning Auto-regressive Models from Sequence and Non-sequence Data
NeurIPS 2011
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty
NeurIPS 2010
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
NeurIPS 2008