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2'379'978
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01 October 2023
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57
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Jeff Schneider
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1.
Non-Parametric Inference in Astrophysics
Larry Wasserman
;
Christopher J. Miller
;
Robert C. Nichol
;
Chris Genovese
;
Woncheol Jang
;
Andrew J. Connolly
;
Andrew W. Moore
;
Jeff Schneider
;
the PICA group
;
3 Dec 2001
2.
Fast Algorithms and Efficient Statistics: N-point Correlation Functions
Andrew Moore
;
Andy Connolly
;
Chris Genovese
;
Alex Gray
;
Larry Grone
;
Nick Kanidoris II
;
Robert Nichol
;
Jeff Schneider
;
Alex Szalay
;
Istvan Szapudi
;
Larry Wasserman
;
14 Dec 2000
3.
Near-optimal Policy Identification in Active Reinforcement Learning
Xiang Li
;
Viraj Mehta
;
Johannes Kirschner
;
Ian Char
;
Willie Neiswanger
;
Jeff Schneider
;
Andreas Krause
;
Ilija Bogunovic
;
19 Dec 2022
4.
Exploration via Planning for Information about the Optimal Trajectory
Viraj Mehta
;
Ian Char
;
Joseph Abbate
;
Rory Conlin
;
Mark D. Boyer
;
Stefano Ermon
;
Jeff Schneider
;
Willie Neiswanger
;
6 Oct 2022
5.
Cost Aware Asynchronous Multi-Agent Active Search
Arundhati Banerjee
;
Ramina Ghods
;
Jeff Schneider
;
5 Oct 2022
6.
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
Adam Villaflor
;
Zhe Huang
;
Swapnil Pande
;
John Dolan
;
Jeff Schneider
;
21 Jul 2022
7.
How Useful are Gradients for OOD Detection Really?
Conor Igoe
;
Youngseog Chung
;
Ian Char
;
Jeff Schneider
;
20 May 2022
8.
Multi-Agent Active Search using Detection and Location Uncertainty
Arundhati Banerjee
;
Ramina Ghods
;
Jeff Schneider
;
9 Mar 2022
9.
UGV-UAV Object Geolocation in Unstructured Environments
David Guttendorf
;
D.W. Wilson Hamilton
;
Anne Harris Heckman
;
Herman Herman
;
Felix Jonathan
;
Prasanna Kannappan
;
Nicholas Mireles
;
Luis Navarro-Serment
;
Jean Oh
;
Wei Pu
;
Rohan Saxena
;
Jeff Schneider
;
Matt Schnur
;
Carter Tiernan
;
Trenton Tabor
;
14 Jan 2022
10.
Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling
Benjamin Freed
;
Aditya Kapoor
;
Ian Abraham
;
Jeff Schneider
;
Howie Choset
;
23 Dec 2021
11.
An Experimental Design Perspective on Model-Based Reinforcement Learning
Viraj Mehta
;
Biswajit Paria
;
Jeff Schneider
;
Stefano Ermon
;
Willie Neiswanger
;
10 Dec 2021
12.
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification
Youngseog Chung
;
Ian Char
;
Han Guo
;
Jeff Schneider
;
Willie Neiswanger
;
21 Sep 2021
13.
SBEVNet: End-to-End Deep Stereo Layout Estimation
Divam Gupta
;
Wei Pu
;
Trenton Tabor
;
Jeff Schneider
;
25 May 2021
14.
Computational catalyst discovery: Active classification through myopic multiscale sampling
Kevin Tran
;
Willie Neiswanger
;
Kirby Broderick
;
Erix Xing
;
Jeff Schneider
;
Zachary W. Ulissi
;
2 Feb 2021
15.
Affordance-based Reinforcement Learning for Urban Driving
Tanmay Agarwal
;
Hitesh Arora
;
Jeff Schneider
;
15 Jan 2021
16.
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
Youngseog Chung
;
Willie Neiswanger
;
Ian Char
;
Jeff Schneider
;
19 Nov 2020
17.
Multi-Agent Active Search using Realistic Depth-Aware Noise Model
Ramina Ghods
;
William J. Durkin
;
Jeff Schneider
;
10 Nov 2020
18.
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning
Zhiqian Qiao
;
Jeff Schneider
;
John M. Dolan
;
9 Nov 2020
19.
Interactive Visualization for Debugging RL
Shuby Deshpande
;
Benjamin Eysenbach
;
Jeff Schneider
;
14 Aug 2020
20.
Vizarel: A System to Help Better Understand RL Agents
Shuby Deshpande
;
Jeff Schneider
;
10 Jul 2020
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