About
Discord Stateoftheart AI
GitHub

Publications

99

Cited by

4650

Geoff Gordon

artificial intelligencemachine learning
Carnegie Mellon University

United States

Papers and Citations

1 - 50
Point-based value iteration: An anytime algorithm for POMDPs
2003
Joelle Pineau
Geoff Gordon
Sebastian Thrun
Cited by 1168
Anytime point-based approximations for large POMDPs
2006
Sebastian Thrun
Joelle Pineau
Geoff Gordon
Cited by 400
Finding approximate POMDP solutions through belief compression
2005
Geoff Gordon
Sebastian Thrun
Nicholas Roy
Cited by 379
Anytime search in dynamic graphs
2008
Geoff Gordon
Maxim Likhachev
Sebastian Thrun
+2
Cited by 267
Visibility-based pursuit-evasion with limited field of view
2006
Sebastian Thrun
Brian Gerkey
Geoff Gordon
Cited by 262
Automatic database management system tuning through large-scale machine learning
2017
Geoff Gordon
Bohan Zhang
Dana Van Aken
+1
Cited by 237
Real-time fault diagnosis [robot fault diagnosis]
2004
Geoff Gordon
Sebastian Thrun
Vandi Verma
+1
Cited by 232
Approximate solutions for partially observable stochastic games with common payoffs
2004
Geoff Gordon
Sebastian Thrun
Jeff Schneider
+1
Cited by 222
Adversarial multiple source domain adaptation
2018
Guanhang Wu
José M. F. Moura
Geoff Gordon
+5
Cited by 153
Deeply aggrevated: Differentiable imitation learning for sequential prediction
2017
Arun Venkatraman
Wen Sun
J. Andrew Bagnell
+2
Cited by 128
Learning low dimensional predictive representations
2004
Sebastian Thrun
Geoff Gordon
M Rosencrantz
Cited by 120
Deeparchitect: Automatically designing and training deep architectures
2017
Geoff Gordon
Renato Negrinho
Cited by 118
Game theoretic control for robot teams
2005
Sebastian Thrun
Jeff Schneider
Geoff Gordon
+1
Cited by 104
Policy-contingent abstraction for robust robot control
2012
Sebastian Thrun
Geoff Gordon
Joelle Pineau
Cited by 85
On Learning Invariant Representation for Domain Adaptation
2019
Geoff Gordon
Kun Zhang
Han Zhao
+1
Cited by 81
Query-based workload forecasting for self-driving database management systems
2018
G Mezerhane
A Pavlo
L Ma
+3
Cited by 77
An empirical study of example forgetting during deep neural network learning
2018
Geoff Gordon
Yoshua Bengio
Mariya Toneva
+3
Cited by 73
Constant size descriptors for accurate machine learning models of molecular properties
2018
Geoff Gordon
O. Anatole von Lilienfeld
Christopher Collins
+2
Cited by 71
On Learning Invariant Representations for Domain Adaptation
2019
Han Zhao
Geoff Gordon
Kun Zhang
+3
Cited by 56
Two-manifold problems with applications to nonlinear system identification
2012
Byron Boots
Geoff Gordon
Cited by 53
A unified approach for learning the parameters of sum-product networks
2016
Geoff Gordon
Han Zhao
Pascal Poupart
Cited by 50
Parallel stochastic hill-climbing with small teams
2005
Sebastian Thrun
Geoff Gordon
Brian Gerkey
Cited by 49
Supervised learning for dynamical system learning
2015
Geoff Gordon
Carlton Downey
Ahmed Hefny
Cited by 47
No-Regret Learning in Convex Games
2008
C Marks
Geoff Gordon
Amy Greenwald
Cited by 46
Dual policy iteration
2018
Geoff Gordon
Byron Boots
Wen Sun
+1
Cited by 41
Collapsed variational inference for sum-product networks
2016
Brandon Amos
Han Zhao
Geoff Gordon
+1
Cited by 38
 Predictive State Recurrent Neural Networks
2017
Carlton Downey
Geoff Gordon
Byron Boots
+2
Cited by 37
Multiple source domain adaptation with adversarial learning
2018
Shanghang Zhang
Geoff Gordon
Han Zhao
+3
Cited by 34
Efficient monitoring for planetary rovers
2003
Geoff Gordon
Reid G. Simmons
Vandi Verma
Cited by 34
A spectral learning approach to range-only SLAM
2013
Geoff Gordon
Byron Boots
Cited by 33
Decision support for agent populations in uncertain and congested environments
2012
A Ahmed
Shih-Fen Cheng
Geoff Gordon
+1
Cited by 30
Inherent tradeoffs in learning fair representations
2019
Geoff Gordon
Han Zhao
Cited by 23
Tuning the molecular weight distribution from atom transfer radical polymerization using deep reinforcement learning
2018
Haichen Li
Tomasz Kowalewskia
David Yaron
+4
Cited by 22
Learning hidden quantum Markov models
2018
Siddarth Srinivasan
Byron Boots
Geoff Gordon
Cited by 19
Hybrid theorem proving of aerospace systems: Applications and challenges
2014
E Zawadzki
P Capell.
Geoff Gordon
+3
Cited by 17
POMDP based negotiation modeling
2009
M Dudik
Geoff Gordon
Katia Sycara
+3
Cited by 16
Efficient multitask feature and relationship learning
2020
Geoff Gordon
Otilia Stretcu
Alex Smola
+1
Cited by 15
Domain adaptation with conditional distribution matching and generalized label shift
2020
Geoff Gordon
Han Zhao
Remi Tachet des Combes
+2
Cited by 15
Conditional learning of fair representations
2020
Tameem Adel
Amanda Coston
Han Zhao
+1
Cited by 15
Open-loop plans in multi-robot POMDPs
2005
Andrew Ng
C Yu
A Ng
+3
Cited by 14
Learning beam search policies via imitation learning
2018
Matthew R. Gormley
Geoff Gordon
Renato Negrinho
Cited by 13
A demonstration of the ottertune automatic database management system tuning service
2018
Siyuan Sheng
Justin Wang
Tao Dai
+6
Cited by 11
Robust models of object geometry
2006
Geoff Gordon
Jared Glover
Daniela Rus
+1
Cited by 11
Anytime dynamic A*: the proofs
2005
Anthony Stentz
Maxim Likhachev
Sebastian Thrun
+2
Cited by 11
Recurrent predictive state policy networks
2018
Geoffrey Gordon
Wen Sun
Siddhartha Srinivasa
+3
Cited by 10
Deep Generative and Discriminative Domain Adaptation.
2019
J Hu
Adam Coates
Geoff Gordon
+2
Cited by 7
Deep Generative and Discriminative Domain Adaptation
2019
J Hu
Adam Coates
Zhenyao Zhu
+2
Cited by 7
Towards modular and programmable architecture search
2019
Nghia Le
N Le
Matthew R. Gormley
+4
Cited by 7
Learning to Smooth with Bidirectional Predictive State Inference Machines
2016
Wen Sun
Roberto Capobianco
J. Andrew Bagnell
+2
Cited by 6
Chapter 8 Modeling Group Negotiation: Three Computational Approaches that can Inform Behavioral Sciences'
2011
LR Weingart
N Turan
Geoff Gordon
+1
Cited by 6