Jeff G. Schneider
7 papers · 2008–2023 · 1 conference · across top CS/AI conferences
Achievements
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๐ Renaissance Researcher (6) ๐ Interdisciplinary Bridge ๐ฃ Hot Topic Early Bird ๐ Academic Marathon (15) ๐ Cross-Pollinator (13)
๐บ๏ธ
Taxonomy Completionist
(13)
๐งญ
Keyword Pioneer
๐
Keyword Champion
๐งฌ
Topic Evolution
๐
Trend Setter
Conferences
NIPS (7)
Top co-authors
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)
time series
(1)
quantile regression
(1)
pinball loss
(1)
model-based reinforcement learning
(1)
task relatedness
(1)
semantic correlation
(1)
time series analysis
(1)
Papers
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks
NIPS 2023
Exploration via Planning for Information about the Optimal Trajectory
NIPS 2022
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
NIPS 2021
Group Anomaly Detection using Flexible Genre Models
NIPS 2011
Learning Auto-regressive Models from Sequence and Non-sequence Data
NIPS 2011
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty
NIPS 2010
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
NIPS 2008