J. Schneider

PROFILE

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Aliases
Je G. Schneider, Jeff Schneider, Je Schneider, J Gabe Schneider, J. Schneider, Jeff G. Schneider, Jefff Schneider
Publication record
235 papers · 11,942 citations · H-index 58

PAPERS

Enhancing Visual Domain Adaptation with Source Preparation
20231 citationsauthor #4
Multi-Alpha Soft Actor-Critic: Overcoming Stochastic Biases in Maximum Entropy Reinforcement Learning
20234 citationsauthor #4
Kernelized Offline Contextual Dueling Bandits
20234 citationsauthor #5
Learning Temporally AbstractWorld Models without Online Experimentation
20237 citationsauthor #4
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks
20237 citationsauthor #2
GUTS: Generalized Uncertainty-Aware Thompson Sampling for Multi-Agent Active Search
20234 citationsauthor #4
Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading
20231 citationsauthor #6
How Useful are Gradients for OOD Detection Really?
202229 citationsauthor #4
Cost Aware Asynchronous Multi-Agent Active Search
20220 citationsauthor #3
Multi-Agent Active Search: A Reinforcement Learning Approach
202220 citationsauthor #3
BATS: Best Action Trajectory Stitching
20228 citationsauthor #5
Multi-Agent Active Search using Detection and Location Uncertainty
20223 citationsauthor #3
Exploration via Planning for Information about the Optimal Trajectory
20229 citationsauthor #7
Near-optimal Policy Identification in Active Reinforcement Learning
20228 citationsauthor #6
Robust Reinforcement Learning via Genetic Curriculum
202211 citationsauthor #2
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
202230 citationsauthor #5
Learning Urban Driving Policies using Deep Reinforcement Learning
202116 citationsauthor #3
Affordance-based Reinforcement Learning for Urban Driving
20219 citationsauthor #3
Decentralized multi-agent active search for sparse signals
20219 citationsauthor #3
An Experimental Design Perspective on Model-Based Reinforcement Learning
202124 citationsauthor #3
Computational catalyst discovery: Active classification through myopic multiscale sampling.
20218 citationsauthor #5
SBEVNet: End-to-End Deep Stereo Layout Estimation
20216 citationsauthor #4
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification
202184 citationsauthor #4
Learning Cooperative Multi-Agent Policies With Partial Reward Decoupling
20218 citationsauthor #4
Interactive Visualization for Debugging RL
20208 citationsauthor #3
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
2020115 citationsauthor #4
When is Deep Learning the Best Approach to Knowledge Tracing
2020114 citationsauthor #3
Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction
202032 citationsauthor #8
Offline Contextual Bayesian Optimization for Nuclear Fusion
202014 citationsauthor #9
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning*
202027 citationsauthor #2
Cost-Aware Bayesian Optimization via Information Directed Sampling
20202 citationsauthor #4
Multi-Agent Active Search using Realistic Depth-Aware Noise Model
202018 citationsauthor #3
N EURAL D YNAMICAL S YSTEMS
20200 citationsauthor #5
Asynchronous Multi Agent Active Search
20201 citationsauthor #3
Vizarel: A System to Help Better Understand RL Agents
20203 citationsauthor #2
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
2019192 citationsauthor #6
Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments
201926 citationsauthor #5
Offline Contextual Bayesian Optimization
201953 citationsauthor #8
ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language
201910 citationsauthor #4
Hierarchical Reinforcement Learning Method for Autonomous Vehicle Behavior Planning
201938 citationsauthor #4
Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories
201925 citationsauthor #5
Human Driver Behavior Prediction based on UrbanFlow*
20196 citationsauthor #5
Learning to Drive using Waypoints
201910 citationsauthor #5
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
2019143 citationsauthor #6
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets
201965 citationsauthor #8
Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions
201984 citationsauthor #5
ProBO: a Framework for Using Probabilistic Programming in Bayesian Optimization
201918 citationsauthor #4
Parallelised Bayesian Optimisation via Thompson Sampling
2018269 citationsauthor #3
Draft version November 7 , 2018 Preprint typeset using L A TEX style emulateapj v . 5 / 2 / 11 DYNAMICAL MASS MEASUREMENTS OF CONTAMINATED GALAXY CLUSTERS USING MACHINE LEARNING
20180 citationsauthor #6
Short-term Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks
201895 citationsauthor #7
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
2018651 citationsauthor #3
Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming
20185 citationsauthor #5
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving
2018225 citationsauthor #8
Transformation Autoregressive Networks
201888 citationsauthor #7
Systematic Labeling Bias in Galaxy Morphologies
20189 citationsauthor #3
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
2018700 citationsauthor #7
Multi-fidelity Bayesian Optimisation with Continuous Approximations
2017248 citationsauthor #3
Recurrent Estimation of Distributions
20172 citationsauthor #5
Equivariance Through Parameter-Sharing
2017283 citationsauthor #2
Asynchronous Parallel Bayesian Optimisation via Thompson Sampling
201733 citationsauthor #3
The Statistical Recurrent Unit
201750 citationsauthor #3
Machine Learning for Massive Scale Cosmology. Final Report
20170 citationsauthor #1
Gaussian Process Optimisation with Multi-fidelity Evaluations
201714 citationsauthor #4
Scaling Active Search using Linear Similarity Functions
20172 citationsauthor #3
Deep Generative Models of Galaxy Images for the Calibration of the Next Generation of Weak Lensing Surveys
20170 citationsauthor #4
Query efficient posterior estimation in scientific experiments via Bayesian active learning
201731 citationsauthor #2
Active Optimization and Self Driving Cars
20170 citationsauthor #1
Enabling Dark Energy Science with Deep Generative Models of Galaxy Images
201666 citationsauthor #4
Detecting damped Ly α absorbers with Gaussian processes
201628 citationsauthor #4
High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models
201684 citationsauthor #4
Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems
201614 citationsauthor #3
Training Strategies for Time Series : Learning for Filtering and Reinforcement Learning
20160 citationsauthor #3
The Multi-fidelity Multi-armed Bandit
201642 citationsauthor #4
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations
2016158 citationsauthor #4
Bayesian Optimization and Embedded Learning Systems
20162 citationsauthor #1
Estimating Cosmological Parameters from the Dark Matter Distribution
201682 citationsauthor #6
Active Search for Sparse Signals with Region Sensing
201614 citationsauthor #3
Multi-fidelity Gaussian Process Bandit Optimisation
201680 citationsauthor #4
Stochastic Neural Networks with Monotonic Activation Functions
201621 citationsauthor #3
Deep Mean Maps
20158 citationsauthor #4
DYNAMICAL MASS MEASUREMENTS OF CONTAMINATED GALAXY CLUSTERS USING MACHINE LEARNING
201552 citationsauthor #6
Generalization Bounds for Transfer Learning under Model Shift
201528 citationsauthor #2
Bayesian active learning for posterior estimation
201556 citationsauthor #2
Bayesian Active Learning for Posterior Estimation - IJCAI-15 Distinguished Paper
20152 citationsauthor #2
High Dimensional Bayesian Optimisation and Bandits via Additive Models
2015400 citationsauthor #2
Active Pointillistic Pattern Search
201515 citationsauthor #4
Bayesian Nonparametric Kernel-Learning
201572 citationsauthor #5
Event Prediction With Learning Algorithms-A Study of Events Surrounding the Egyptian Revolution of 2011 on the Basis of Micro Blog Data
201534 citationsauthor #3
CDS&E: Collaborative Research: Machine Learning for Automated Discovery and Control in Turbulent Plasma
20150 citationsauthor #2
Finding Galaxies in the Shadows of Quasars with Gaussian Processes
20155 citationsauthor #3
Machine Learning Department School of Computer Science 2012 Support Distribution Machines
20150 citationsauthor #4
Machine Learning methods for interatomic potentials: application to boron carbide
20156 citationsauthor #3
Active Search and Bandits on Graphs using Sigma-Optimality
201540 citationsauthor #3
On the Error of Random Fourier Features
2015210 citationsauthor #2
Linear-Time Learning on Distributions with Approximate Kernel Embeddings
201518 citationsauthor #4
Statistical learning in chip (SLIC)
20156 citationsauthor #7
Flexible Transfer Learning under Support and Model Shift
201497 citationsauthor #2
SLIC: Statistical learning in chip
20142 citationsauthor #7
Systematic Labeling Bias: De-biasing Where Everyone is Wrong
201416 citationsauthor #3
Data Analysis Project : Σ-Optimality for Active Learning on Gaussian Random Fields
201450 citationsauthor #3

TIMELINE

1992 4 citations

1993 18 citations

1994 27 citations

1995 91 citations

1996 107 citations

1997 127 citations

1998 85 citations

1999 217 citations

2000 410 citations

2001 280 citations

2002 101 citations

2003 331 citations

2004 405 citations

2005 257 citations

2006 0 citations

2007 247 citations

2008 159 citations

2009 311 citations

2010 1,012 citations

2011 935 citations

2012 522 citations

2013 367 citations

2014 380 citations

2015 952 citations

2016 591 citations

2017 663 citations

2018 2,042 citations

2019 670 citations

2020 334 citations

2021 164 citations

2022 118 citations

2023 28 citations

Unknown 1 citations

J. Schneider

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