Thomas G. Dietterich

ORCID

Publication Activity (10 Years)

Years Active: 1979-2023
Publications (10 Years): 63

Top Venues

Publications

George Trimponias, Thomas G. Dietterich
Reinforcement Learning with Exogenous States and Rewards. CoRR (2023)
Kiri L. Wagstaff, Thomas G. Dietterich
Hidden Heterogeneity: When to Choose Similarity-Based Calibration. Trans. Mach. Learn. Res. 2023 (2023)
Alexander Guyer, Thomas G. Dietterich
Will My Robot Achieve My Goals? Predicting the Probability that an MDP Policy Reaches a User-Specified Behavior Target. CoRR (2022)
Thomas G. Dietterich, Jesse Hostetler
Conformal Prediction Intervals for Markov Decision Process Trajectories. CoRR (2022)
Si Liu, Risheek Garrepalli, Dan Hendrycks, Alan Fern, Debashis Mondal, Thomas G. Dietterich
PAC Guarantees and Effective Algorithms for Detecting Novel Categories. J. Mach. Learn. Res. 23 (2022)
Kiri L. Wagstaff, Thomas G. Dietterich
Hidden Heterogeneity: When to Choose Similarity-Based Calibration. CoRR (2022)
Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich
ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. KDD (2022)
Risheek Garrepalli, Alan Fern, Thomas G. Dietterich
Oracle Analysis of Representations for Deep Open Set Detection. CoRR (2022)
Thomas G. Dietterich, Alexander Guyer
The familiarity hypothesis: Explaining the behavior of deep open set methods. Pattern Recognit. 132 (2022)
Thomas G. Dietterich, Alexander Guyer
The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods. CoRR (2022)
Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich
Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). KDD (2021)
Yunye Gong, Xiao Lin, Yi Yao, Thomas G. Dietterich, Ajay Divakaran, Melinda T. Gervasio
Confidence Calibration for Domain Generalization under Covariate Shift. ICCV (2021)
Erich Merrill, Stefan Lee, Fuxin Li, Thomas G. Dietterich, Alan Fern
Deep Convolution for Irregularly Sampled Temporal Point Clouds. CoRR (2021)
Jonathan Ferrer-Mestres, Thomas G. Dietterich, Olivier Buffet, Iadine Chades
K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management. AAAI (2021)
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
A Unifying Review of Deep and Shallow Anomaly Detection. Proc. IEEE 109 (5) (2021)
Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich
Three-quarter Sibling Regression for Denoising Observational Data. CoRR (2021)
Yunye Gong, Xiao Lin, Yi Yao, Thomas G. Dietterich, Ajay Divakaran, Melinda T. Gervasio
Confidence Calibration for Domain Generalization under Covariate Shift. CoRR (2021)
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
A Unifying Review of Deep and Shallow Anomaly Detection. CoRR (2020)
Tadesse Zemicheal, Thomas G. Dietterich
Conditional mixture models for precipitation data quality control. COMPASS (2020)
Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott
Discovering Anomalies by Incorporating Feedback from an Expert. ACM Trans. Knowl. Discov. Data 14 (4) (2020)
Joshua Alspector, Thomas G. Dietterich
DARPA's Role in Machine Learning. AI Mag. 41 (2) (2020)
Jonathan Ferrer-Mestres, Thomas G. Dietterich, Olivier Buffet, Iadine Chadès
Solving K-MDPs. ICAPS (2020)
Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Weng-Keen Wong
Sequential Feature Explanations for Anomaly Detection. ACM Trans. Knowl. Discov. Data 13 (1) (2019)
Dan Hendrycks, Thomas G. Dietterich
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations. ICLR (Poster) (2019)
Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich
Three-quarter Sibling Regression for Denoising Observational Data. IJCAI (2019)
Tadesse Zemicheal, Thomas G. Dietterich
Anomaly detection in the presence of missing values for weather data quality control. COMPASS (2019)
Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62 (9) (2019)
Dan Hendrycks, Mantas Mazeika, Thomas G. Dietterich
Deep Anomaly Detection with Outlier Exposure. ICLR (Poster) (2019)
Thomas G. Dietterich
Robust artificial intelligence and robust human organizations. Frontiers Comput. Sci. 13 (1) (2019)
Dan Hendrycks, Thomas G. Dietterich
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations. CoRR (2019)
Si Liu, Risheek Garrepalli, Alan Fern, Thomas G. Dietterich
Can We Achieve Open Category Detection with Guarantees? AAAI Workshops (2018)
Thomas G. Dietterich, Tadesse Zemicheal
Anomaly Detection in the Presence of Missing Values. CoRR (2018)
Si Liu, Risheek Garrepalli, Thomas G. Dietterich, Alan Fern, Dan Hendrycks
Open Category Detection with PAC Guarantees. ICML (2018)
Thomas G. Dietterich, George Trimponias, Zhitang Chen
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning. ICML (2018)
John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich
Learning Scripts as Hidden Markov Models. CoRR (2018)
Thomas G. Dietterich, George Trimponias, Zhitang Chen
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning. CoRR (2018)
Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Ryan Wright, Alec Theriault, David W. Archer
Feedback-Guided Anomaly Discovery via Online Optimization. KDD (2018)
Dan Hendrycks, Mantas Mazeika, Thomas G. Dietterich
Deep Anomaly Detection with Outlier Exposure. CoRR (2018)
Majid Alkaee Taleghan, Thomas G. Dietterich
Efficient Exploration for Constrained MDPs. AAAI Spring Symposia (2018)
Si Liu, Risheek Garrepalli, Thomas G. Dietterich, Alan Fern, Dan Hendrycks
Open Category Detection with PAC Guarantees. CoRR (2018)
Dan Hendrycks, Thomas G. Dietterich
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations. CoRR (2018)
Thomas G. Dietterich
Robust Artificial Intelligence and Robust Human Organizations. CoRR (2018)
Thomas G. Dietterich
Steps Toward Robust Artificial Intelligence. AI Mag. 38 (3) (2017)
Shubhomoy Das, Weng-Keen Wong, Alan Fern, Thomas G. Dietterich, Md Amran Siddiqui
Incorporating Feedback into Tree-based Anomaly Detection. CoRR (2017)
Sean McGregor, Hailey Buckingham, Thomas G. Dietterich, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer
Interactive visualization for testing Markov Decision Processes: MDPVIS. J. Vis. Lang. Comput. 39 (2017)
Jesse Hostetler, Alan Fern, Thomas G. Dietterich
Sample-Based Tree Search with Fixed and Adaptive State Abstractions. J. Artif. Intell. Res. 60 (2017)
Sean McGregor, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer, Thomas G. Dietterich
Factoring Exogenous State for Model-Free Monte Carlo. CoRR (2017)
Sean McGregor, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer, Thomas G. Dietterich
Fast Optimization of Wildfire Suppression Policies with SMAC. CoRR (2017)
Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Shubhomoy Das
Finite Sample Complexity of Rare Pattern Anomaly Detection. UAI (2016)
Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott
Incorporating Expert Feedback into Active Anomaly Discovery. ICDM (2016)
Li-Ping Liu, Thomas G. Dietterich, Nan Li, Zhi-Hua Zhou
Transductive Optimization of Top k Precision. IJCAI (2016)
Andrew Emmott, Shubhomoy Das, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong
Systematic Construction of Anomaly Detection Benchmarks from Real Data. CoRR (2015)
Jun Xie, Chao Ma, Janardhan Rao Doppa, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli
Learning Greedy Policies for the Easy-First Framework. AAAI (2015)
Majid Alkaee Taleghan, Thomas G. Dietterich, Mark Crowley, Kim Hall, H. Jo Albers
PAC optimal MDP planning with application to invasive species management. J. Mach. Learn. Res. 16 (2015)
Thomas G. Dietterich, Eric Horvitz
Rise of concerns about AI: reflections and directions. Commun. ACM 58 (10) (2015)
Michael Lam, Janardhan Rao Doppa, Sinisa Todorovic, Thomas G. Dietterich
ℋC-search for structured prediction in computer vision. CVPR (2015)
Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Weng-Keen Wong
Sequential Feature Explanations for Anomaly Detection. CoRR (2015)
Sean McGregor, Hailey Buckingham, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer, Thomas G. Dietterich
MDPVIS: An Interactive Visualization for Testing Markov Decision Processes. AAAI Fall Symposia (2015)
Mohammad S. Sorower, Michael Slater, Thomas G. Dietterich
Improving Automated Email Tagging with Implicit Feedback. UIST (2015)
Sean McGregor, Hailey Buckingham, Thomas G. Dietterich, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer
Facilitating testing and debugging of Markov Decision Processes with interactive visualization. VL/HCC (2015)
Li-Ping Liu, Thomas G. Dietterich, Nan Li, Zhi-Hua Zhou
Transductive Optimization of Top k Precision. CoRR (2015)
Sean McGregor, Hailey Buckingham, Thomas G. Dietterich, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer
Facilitating testing and debugging of Markov Decision Processes with interactive visualization. VL/HCC (2015)
Jesse Hostetler, Alan Fern, Thomas G. Dietterich
Progressive Abstraction Refinement for Sparse Sampling. UAI (2015)
John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich
Learning Scripts as Hidden Markov Models. AAAI (2014)
Li-Ping Liu, Daniel Sheldon, Thomas G. Dietterich
Gaussian Approximation of Collective Graphical Models. CoRR (2014)
Li-Ping Liu, Daniel Sheldon, Thomas G. Dietterich
Gaussian Approximation of Collective Graphical Models. ICML (2014)
Chao Ma, Janardhan Rao Doppa, John Walker Orr, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli
Prune-and-Score: Learning for Greedy Coreference Resolution. EMNLP (2014)
Andrew Farnsworth, Daniel Sheldon, Jeffrey Geevarghese, Jed Irvine, Benjamin Van Doren, Kevin F. Webb, Thomas G. Dietterich, Steve Kelling
Reconstructing Velocities of Migrating Birds from Weather Radar - A Case Study in Computational Sustainability. AI Mag. 35 (2) (2014)
Li-Ping Liu, Thomas G. Dietterich
Learnability of the Superset Label Learning Problem. ICML (2014)
Kshitij Judah, Alan Paul Fern, Thomas G. Dietterich, Prasad Tadepalli
Active lmitation learning: formal and practical reductions to I.I.D. learning. J. Mach. Learn. Res. 15 (1) (2014)
Daniel Sheldon, Tao Sun, Akshat Kumar, Thomas G. Dietterich
Approximate Inference in Collective Graphical Models. ICML (3) (2013)
Kiri L. Wagstaff, Nina L. Lanza, David R. Thompson, Thomas G. Dietterich, Martha S. Gilmore
Guiding Scientific Discovery with Explanations Using DEMUD. AAAI (2013)
Ted E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan A. Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel D. Corkill, Lisa Friedland, Amanda Gentzel, David D. Jensen
Detecting insider threats in a real corporate database of computer usage activity. KDD (2013)
Michael Lam, Janardhan Rao Doppa, Xu Hu, Sinisa Todorovic, Thomas G. Dietterich, Abigail Reft, Marymegan Daly
Learning to Detect Basal Tubules of Nematocysts in SEM Images. ICCV Workshops (2013)
Xu Hu, Michael Lam, Sinisa Todorovic, Thomas G. Dietterich, Maureen A. OLeary, Andrea L. Cirranello, Nancy B. Simmons, Paúl M. Velazco
Zero-Shot Learning and Detection of Teeth in Images of Bat Skulls. ICCV Workshops (2013)
Thomas G. Dietterich, Majid Alkaee Taleghan, Mark Crowley
PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs. AAAI (2013)
Daniel R. Sheldon, Andrew Farnsworth, Jed Irvine, Benjamin Van Doren, Kevin F. Webb, Thomas G. Dietterich, Steve Kelling
Approximate Bayesian Inference for Reconstructing Velocities of Migrating Birds from Weather Radar. AAAI (2013)
Kshitij Judah, Alan Fern, Thomas G. Dietterich
Active Imitation Learning via Reduction to I.I.D. Active Learning CoRR (2012)
Thomas G. Dietterich, Ethan W. Dereszynski, Rebecca A. Hutchinson, Daniel R. Sheldon
Machine learning for computational sustainability. IGCC (2012)
Kshitij Judah, Alan Fern, Thomas G. Dietterich
Active Imitation Learning via Reduction to I.I.D. Active Learning. UAI (2012)
Ethan W. Dereszynski, Thomas G. Dietterich
Probabilistic Models for Anomaly Detection in Remote Sensor Data Streams CoRR (2012)
Eric Altendorf, Angelo C. Restificar, Thomas G. Dietterich
Learning from Sparse Data by Exploiting Monotonicity Constraints CoRR (2012)
Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern
Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games CoRR (2012)
Jesse Hostetler, Ethan W. Dereszynski, Thomas G. Dietterich, Alan Fern
Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games. UAI (2012)
Li-Ping Liu, Thomas G. Dietterich
A Conditional Multinomial Mixture Model for Superset Label Learning. NIPS (2012)
Xiaoqin Zhang, Bhavesh Shrestha, Sung Wook Yoon, Subbarao Kambhampati, Phillip DiBona, Jinhong K. Guo, Daniel McFarlane, Martin O. Hofmann, Kenneth R. Whitebread, Darren Scott Appling, Elizabeth T. Whitaker, Ethan Trewhitt, Li Ding, James Michaelis, Deborah L. McGuinness, James A. Hendler, Janardhan Rao Doppa, Charles Parker, Thomas G. Dietterich, Prasad Tadepalli, Weng-Keen Wong, Derek T. Green, Antons Rebguns, Diana F. Spears, Ugur Kuter, Geoffrey Levine, Gerald DeJong, Reid MacTavish, Santiago Ontañón, Jainarayan Radhakrishnan, Ashwin Ram, Hala Mostafa, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Victor R. Lesser, Zhexuan Song
An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration. ACM Trans. Intell. Syst. Technol. 3 (4) (2012)
Natalia Larios Delgado, Junyuan Lin, Mengzi Zhang, David A. Lytle, Andrew Moldenke, Linda G. Shapiro, Thomas G. Dietterich
Stacked spatial-pyramid kernel: An object-class recognition method to combine scores from random trees. WACV (2011)
Valentina Bayer Zubek, Thomas G. Dietterich
Integrating Learning from Examples into the Search for Diagnostic Policies CoRR (2011)
Daniel R. Sheldon, Thomas G. Dietterich
Collective Graphical Models. NIPS (2011)
Xinlong Bao, Thomas G. Dietterich
FolderPredictor: Reducing the cost of reaching the right folder. ACM Trans. Intell. Syst. Technol. 2 (1) (2011)
Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich
Automatic Discovery and Transfer of Task Hierarchies in Reinforcement Learning. AI Mag. 32 (1) (2011)
Ethan W. Dereszynski, Thomas G. Dietterich
Spatiotemporal Models for Data-Anomaly Detection in Dynamic Environmental Monitoring Campaigns. ACM Trans. Sens. Networks 8 (1) (2011)
Ethan W. Dereszynski, Jesse Hostetler, Alan Fern, Thomas G. Dietterich, Thao-Trang Hoang, Mark Udarbe
Learning Probabilistic Behavior Models in Real-Time Strategy Games. AIIDE (2011)
Janardhan Rao Doppa, Shahed Sorower, Mohammad NasrEsfahani, John Walker Orr, Thomas G. Dietterich, Xiaoli Z. Fern, Prasad Tadepalli, Jed Irvine
Learning Rules from Incomplete Examples via Implicit Mention Models. ACML (2011)
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Dietterich
Incorporating Boosted Regression Trees into Ecological Latent Variable Models. AAAI (2011)
Shahed Sorower, Thomas G. Dietterich, Janardhan Rao Doppa, John Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions. NIPS (2011)
Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Dietterich
Reinforcement Learning Via Practice and Critique Advice. AAAI (2010)
Natalia Larios, Bilge Soran, Linda G. Shapiro, Gonzalo Martínez-Muñoz, Junyuan Lin, Thomas G. Dietterich
Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification. ICPR (2010)
Carlos Jensen, Heather Lonsdale, Eleanor Wynn, Jill Cao, Michael Slater, Thomas G. Dietterich
The life and times of files and information: a study of desktop provenance. CHI (2010)
Jianqiang Shen, Jed Irvine, Xinlong Bao, Michael Goodman, Stephen Kolibaba, Anh Tran, Fredric Carl, Brenton Kirschner, Simone Stumpf, Thomas G. Dietterich
Detecting and correcting user activity switches: algorithms and interfaces. IUI (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Thomas G. Dietterich