Alan Fern

According to our database1, Alan Fern authored at least 156 papers between 1997 and 2020.

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Bibliography

2020
Explanations for Dynamic Programming.
Proceedings of the Practical Aspects of Declarative Languages, 2020

2019
Logical scalability and efficiency of relational learning algorithms.
VLDB J., 2019

Sequential Feature Explanations for Anomaly Detection.
TKDD, 2019

The Choice Function Framework for Online Policy Improvement.
CoRR, 2019

Computational sustainability: computing for a better world and a sustainable future.
Commun. ACM, 2019

Interactive Naming for Explaining Deep Neural Networks: A Formative Study.
Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

Explaining Reinforcement Learning to Mere Mortals: An Empirical Study.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Finite State Representations of Recurrent Policy Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Strategic Tasks for Explainable Reinforcement Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Fast Online Trajectory Optimization for the Bipedal Robot Cassie.
Proceedings of the Robotics: Science and Systems XIV, 2018

Feedback-Guided Anomaly Discovery via Online Optimization.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Emergency Response Optimization using Online Hybrid Planning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Open Category Detection with PAC Guarantees.
Proceedings of the 35th International Conference on Machine Learning, 2018

Visualizing and Understanding Atari Agents.
Proceedings of the 35th International Conference on Machine Learning, 2018

AutoMode: Relational Learning with Less Black Magic.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Training Deep Reactive Policies for Probabilistic Planning Problems.
Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

Monte-Carlo Planning for Agile Legged Locomotion.
Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

Detecting Cyberattack Entities from Audit Data via Multi-View Anomaly Detection with Feedback.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Can We Achieve Open Category Detection with Guarantees?
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Speedup Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Learning Partial Policies to Speedup MDP Tree Search via Reduction to I.I.D. Learning.
J. Mach. Learn. Res., 2017

Sample-Based Tree Search with Fixed and Adaptive State Abstractions.
J. Artif. Intell. Res., 2017

Incorporating Feedback into Tree-based Anomaly Detection.
CoRR, 2017

Towards Automatically Setting Language Bias in Relational Learning.
Proceedings of the 1st Workshop on Data Management for End-to-End Machine Learning, 2017

Schema Independent Relational Learning.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Budget-Aware Deep Semantic Video Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Adaptive Submodularity with Varying Query Sets: An Application to Active Multi-label Learning.
Proceedings of the International Conference on Algorithmic Learning Theory, 2017

Hindsight Optimization for Hybrid State and Action MDPs.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Schema Independent and Scalable Relational Learning By Castor.
PVLDB, 2016

Budgeted Optimization with Constrained Experiments.
J. Artif. Intell. Res., 2016

Approximate Policy Iteration for Budgeted Semantic Video Segmentation.
CoRR, 2016

Finite Sample Complexity of Rare Pattern Anomaly Detection.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Incorporating Expert Feedback into Active Anomaly Discovery.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Toward Representation Independent Analytics over Structured Data.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Bayesian Optimization with Resource Constraints and Production.
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

2015
Scheduling Conservation Designs for Maximum Flexibility via Network Cascade Optimization.
J. Artif. Intell. Res., 2015

Schema Independent Relational Learning.
CoRR, 2015

Systematic Construction of Anomaly Detection Benchmarks from Real Data.
CoRR, 2015

Efficiently Constructing Mosaics from Video Collections.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Memory-Effcient Symbolic Online Planning for Factored MDPs.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Progressive Abstraction Refinement for Sparse Sampling.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Active Imitation Learning of Hierarchical Policies.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multitask Coactive Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Person count localization in videos from noisy foreground and detections.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Hindsight Optimization for Probabilistic Planning with Factored Actions.
Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

Journal Track Paper Abstracts.
Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

Toward Embedding Bayesian Optimization in the Lab: Reasoning about Resource and Actions.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

Factored MCTS for Large Scale Stochastic Planning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Using trajectory data to improve bayesian optimization for reinforcement learning.
J. Mach. Learn. Res., 2014

Active lmitation learning: formal and practical reductions to I.I.D. learning.
J. Mach. Learn. Res., 2014

Structured prediction via output space search.
J. Mach. Learn. Res., 2014

A Decision-Theoretic Model of Assistance.
J. Artif. Intell. Res., 2014

HC-Search: A Learning Framework for Search-based Structured Prediction.
J. Artif. Intell. Res., 2014

Representation Independent Analytics Over Structured Data.
CoRR, 2014

Play type recognition in real-world football video.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Learning Partial Policies to Speedup MDP Tree Search.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

A policy switching approach to consolidating load shedding and islanding protection schemes.
Proceedings of the 2014 Power Systems Computation Conference, 2014

Learning Pruning Rules for Heuristic Search Planning.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Multi-object Tracking via Constrained Sequential Labeling.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Dynamic Resource Allocation for Optimizing Population Diffusion.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Imitation Learning with Demonstrations and Shaping Rewards.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

State Aggregation in Monte Carlo Tree Search.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Coactive Learning for Locally Optimal Problem Solving.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

HC-Search for Multi-Label Prediction: An Empirical Study.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Solving Relational MDPs with Exogenous Events and Additive Rewards.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Symbolic Opportunistic Policy Iteration for Factored-Action MDPs.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013


Monte Carlo Tree Search for Scheduling Activity Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Detecting the Moment of Snap in Real-World Football Videos.
Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013

On Adversarial Policy Switching with Experiments in Real-Time Strategy Games.
Proceedings of the Twenty-Third International Conference on Automated Planning and Scheduling, 2013

Relational Markov Decision Processes: Promise and Prospects.
Proceedings of the Statistical Relational Artificial Intelligence, 2013

HC-Search: Learning Heuristics and Cost Functions for Structured Prediction.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
A relational hierarchical model for decision-theoretic assistance.
Knowl. Inf. Syst., 2012

Transfer Learning in Sequential Decision Problems: A Hierarchical Bayesian Approach.
Proceedings of the Unsupervised and Transfer Learning, 2012

Active Imitation Learning via Reduction to I.I.D. Active Learning.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

A Bayesian Approach for Policy Learning from Trajectory Preference Queries.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Lightweight Automated Testing with Adaptation-Based Programming.
Proceedings of the 23rd IEEE International Symposium on Software Reliability Engineering, 2012

Learning-Based Test Programming for Programmers.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Technologies for Mastering Change, 2012

Output Space Search for Structured Prediction.
Proceedings of the 29th International Conference on Machine Learning, 2012

Batch Active Learning via Coordinated Matching.
Proceedings of the 29th International Conference on Machine Learning, 2012

Faster program adaptation through reward attribution inference.
Proceedings of the Generative Programming and Component Engineering, 2012

Achieving Quality of Service with Adaptation-based Programming for medium access protocols.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

Scheduling Conservation Designs via Network Cascade Optimization.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Planning in Factored Action Spaces with Symbolic Dynamic Programming.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Enabling opportunistic and dynamic spectrum access through learning techniques.
Wireless Communications and Mobile Computing, 2011

The first learning track of the international planning competition.
Machine Learning, 2011

Improving Policy Gradient Estimates with Influence Information.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Adaptation-Based Programming in Haskell
Proceedings of the Proceedings IFIP Working Conference on Domain-Specific Languages, 2011

An Application of Transfer to American Football: From Observation of Raw Video to Control in a Simulated Environment.
AI Magazine, 2011

Learning First-Order Definite Theories via Object-Based Queries.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Adaptation-based programming in java.
Proceedings of the 2011 ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation, 2011

Autonomous Learning of Action Models for Planning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Budgeted Optimization with Concurrent Stochastic-Duration Experiments.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Adaptation-based programming for network protocol design: An 802.11x case study (abstract).
Proceedings of the 30th IEEE International Performance Computing and Communications Conference, 2011

PEL-CNF: Probabilistic event logic conjunctive normal form for video interpretation.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Probabilistic event logic for interval-based event recognition.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Ensemble Monte-Carlo Planning: An Empirical Study.
Proceedings of the 21st International Conference on Automated Planning and Scheduling, 2011

Learning Probabilistic Behavior Models in Real-Time Strategy Games.
Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2011

2010
Speedup Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

On Throughput Guarantee of Aloha-Like Multi-Hop Wireless Networks.
Wireless Personal Communications, 2010

Incorporating Domain Models into Bayesian Optimization for RL.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Batch Bayesian Optimization via Simulation Matching.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Q-learning for opportunistic spectrum access.
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, 2010

Robust Learning for Adaptive Programs by Leveraging Program Structure.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Bayesian role discovery for multi-agent reinforcement learning.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

Iterative Learning of Weighted Rule Sets for Greedy Search.
Proceedings of the 20th International Conference on Automated Planning and Scheduling, 2010

Bayesian Policy Search for Multi-Agent Role Discovery.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Reinforcement Learning Via Practice and Critique Advice.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

A Computational Decision Theory for Interactive Assistants.
Proceedings of the Interactive Decision Theory and Game Theory, 2010

Myopic Policies for Budgeted Optimization with Constrained Experiments.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Learning Linear Ranking Functions for Beam Search with Application to Planning.
J. Mach. Learn. Res., 2009

A Penalty-Logic Simple-Transition Model for Structured Sequences.
Computational Intelligence, 2009

UCT for Tactical Assault Planning in Real-Time Strategy Games.
Proceedings of the IJCAI 2009, 2009

Simulation-based Optimization of Resource Placement and Emergency Response.
Proceedings of the Twenty-First Conference on Innovative Applications of Artificial Intelligence, 2009

Discriminatively trained particle filters for complex multi-object tracking.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Lower Bounding Klondike Solitaire with Monte-Carlo Planning.
Proceedings of the 19th International Conference on Automated Planning and Scheduling, 2009

2008
Transfer in variable-reward hierarchical reinforcement learning.
Machine Learning, 2008

Learning Control Knowledge for Forward Search Planning.
J. Mach. Learn. Res., 2008

Scalable Video Streaming for Single-Hop Wireless Networks Using a Contention-Based Access MAC Protocol.
Adv. in MM, 2008

Learning first-order probabilistic models with combining rules.
Ann. Math. Artif. Intell., 2008

Probabilistic Planning via Determinization in Hindsight.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Searching Solitaire in Real Time.
ICGA Journal, 2007

Using Learned Policies in Heuristic-Search Planning.
Proceedings of the IJCAI 2007, 2007

Discriminative Learning of Beam-Search Heuristics for Planning.
Proceedings of the IJCAI 2007, 2007

Revisiting Output Coding for Sequential Supervised Learning.
Proceedings of the IJCAI 2007, 2007

On learning linear ranking functions for beam search.
Proceedings of the Machine Learning, 2007

Multi-task reinforcement learning: a hierarchical Bayesian approach.
Proceedings of the Machine Learning, 2007

Learning for efficient retrieval of structured data with noisy queries.
Proceedings of the Machine Learning, 2007

Wireless Video Streaming with Collaborative Admission Control for Home Networks.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open Problems.
Proceedings of the Interaction Challenges for Intelligent Assistants, 2007

Mixture-of-Parts Pictorial Structures for Objects with Variable Part Sets.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Exploiting prior knowledge in Intelligent Assistants - Combining relational models with hierarchies.
Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007

Improved Video Registration using Non-Distinctive Local Image Features.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

FF-Replan: A Baseline for Probabilistic Planning.
Proceedings of the Seventeenth International Conference on Automated Planning and Scheduling, 2007

Online Planning for Resource Production in Real-Time Strategy Games.
Proceedings of the Seventeenth International Conference on Automated Planning and Scheduling, 2007

2006
Dynamic feature selection for hardware prediction.
Journal of Systems Architecture, 2006

Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes.
J. Artif. Intell. Res., 2006

Sequential inference with reliable observations: Learning to construct force-dynamic models.
Artif. Intell., 2006

Learning Heuristic Functions from Relaxed Plans.
Proceedings of the Sixteenth International Conference on Automated Planning and Scheduling, 2006

Gradient Boosting for Sequence Alignment.
Proceedings of the Proceedings, 2006

2005
A Simple-Transition Model for Relational Sequences.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Learning first-order probabilistic models with combining rules.
Proceedings of the Machine Learning, 2005

Learning Measures of Progress for Planning Domains.
Proceedings of the Proceedings, 2005

2004
Relational sequential inference with reliable observations.
Proceedings of the Machine Learning, 2004

Learning Domain-Specific Control Knowledge from Random Walks.
Proceedings of the Fourteenth International Conference on Automated Planning and Scheduling (ICAPS 2004), 2004

2003
Online Ensemble Learning: An Empirical Study.
Machine Learning, 2003

Approximate Policy Iteration with a Policy Language Bias.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Specific-to-General Learning for Temporal Events with Application to Learning Event Definitions from Video.
J. Artif. Intell. Res., 2002

Inductive Policy Selection for First-Order MDPs.
Proceedings of the UAI '02, 2002

Learning Temporal, Relational, Force-Dynamic Event Definitions from Video.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

Specific-to-General Learning for Temporal Events.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

1998
Automatic extraction of drainage network from digital terrain elevation data: a local network approach.
IEEE Trans. Geoscience and Remote Sensing, 1998

1997
Pulp digester level prediction using multiresolution networks of locally active units.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Automatic extraction of drainage networks from digital terrain elevation data: a local network approach.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997


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