← Authors

Jeff G. Schneider

7 papers · 2008–2023 · 1 conference · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (15) 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer πŸ† Keyword Champion 🧬 Topic Evolution πŸ“ˆ Trend Setter

Conferences

NIPS (7)

Top co-authors

Ian Char (3) Willie Neiswanger (2) Yi Zhang (2) Artur Dubrawski (1) Youngseog Chung (1) Viraj Mehta (1) BarnabΓ‘s PΓ³czos (1) Joseph Abbate (1) Stefano Ermon (1) Rory Conlin (1)

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