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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 29 /

No.1: The Twenty-Ninth Conference on Artificial Intelligence

Papers

  • Sparse Deep Stacking Network for Image Classification

    Jun Li, Heyou Chang, Jian Yang

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  • Robust Subspace Clustering via Thresholding Ridge Regression

    Xi Peng, Zhang Yi, Huajin Tang

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  • Automatic Topic Discovery for Multi-Object Tracking

    Wenhan Luo, Björn Stenger, Xiaowei Zhao, Tae-Kyun Kim

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  • Learning Predictable and Discriminative Attributes for Visual Recognition

    Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang

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  • Learning to Describe Video with Weak Supervision by Exploiting Negative Sentential Information

    Haonan Yu, Jeffrey Siskind

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  • Multi-View Point Registration via Alternating Optimization

    Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen Chu

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  • A Bayesian Approach to Perceptual 3D Object-Part Decomposition Using Skeleton-Based Representations

    Tarek El-Gaaly, Vicky Froyen, Ahmed Elgammal, Jacob Feldman, Manish Singh

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  • Building Effective Representations for Sketch Recognition

    Jun Guo, Changhu Wang, Hongyang Chao

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  • Deep Representation Learning with Target Coding

    Shuo Yang, Ping Luo, Chen Change Loy, Kenneth W. Shum, Xiaoou Tang

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  • Learning Face Hallucination in the Wild

    Erjin Zhou, Haoqiang Fan, Zhimin Cao, Yuning Jiang, Qi Yin

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  • Surpassing Human-Level Face Verification Performance on LFW with GaussianFace

    Chaochao Lu, Xiaoou Tang

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  • A Boosted Multi-Task Model for Pedestrian Detection with Occlusion Handling

    Chao Zhu, Yuxin Peng

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  • Online Detection of Abnormal Events Using Incremental Coding Length

    Jayanta Dutta, Bonny Banerjee

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  • Exploring Semantic Inter-Class Relationships (SIR) for Zero-Shot Action Recognition

    Chuang Gan, Ming Lin, Yi Yang, Yueting Zhuang, Alexander G.Hauptmann

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  • Speech Adaptation in Extended Ambient Intelligence Environments

    Bonnie Dorr, Lucian Galescu, Ian Perera, Kristy Hollingshead-Seitz, David Atkinson, Micah Clark, William Clancey, Yorick Wilks, Eric Fosler-Lussier

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  • Blended Planning and Acting: Preliminary Approach, Research Challenges

    Dana Nau, Malik Ghallab, Paolo Traverso

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  • Achieving Intelligence Using Prototypes, Composition, and Analogy

    Vinay Chaudhri

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  • Intelligent Agents for Rehabilitation and Care of Disabled and Chronic Patients

    Sarit Kraus

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  • Emerging Architectures for Global System Science

    Michela Milano, Pascal Van Hentenryck

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  • Explaining Watson: Polymath Style

    Wlodek Zadrozny, Valeria de Paiva, Lawrence Moss

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  • Building Strong Semi-Autonomous Systems

    Shlomo Zilberstein

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  • Languages for Learning and Mining

    Luc De Raedt

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  • Towards User-Adaptive Information Visualization

    Cristina Conati, Giuseppe Carenini, Dereck Toker, Sébastien Lallé

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  • Cerebella: Automatic Generation of Nonverbal Behavior for Virtual Humans

    Margot Lhommet, Yuyu Xu, Stacy Marsella

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  • Challenges in Resource and Cost Allocation

    Toby Walsh

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  • SimSensei Demonstration: A Perceptive Virtual Human Interviewer for Healthcare Applications

    Louis-Philippe Morency, Giota Stratou, David DeVault, Arno Hartholt, Margo Lhommet, Gale Lucas, Fabrizio Morbini, Kallirroi Georgila, Stefan Scherer, Jonathan Gratch, Stacy Marsella, David Traum, Albert Rizzo

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  • LOL — Laugh Out Loud

    Florian Pecune, Beatrice Biancardi, Yu Ding, Catherine Pelachaud, Maurizio Mancini, Giovanna Varni, Antonio Camurri, Gualtiero Volpe

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  • Using Social Relationships to Control Narrative Generation

    Julie Porteous, Fred Charles, Marc Cavazza

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  • Scheherazade: Crowd-Powered Interactive Narrative Generation

    Boyang Li, Mark Riedl

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  • Interactive Narrative Planning in The Best Laid Plans

    Stephen Ware, R. Young, Christian Stith, Phillip Wright

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  • Metric Learning Driven Multi-Task Structured Output Optimization for Robust Keypoint Tracking

    Liming Zhao, Xi Li, Jun Xiao, Fei Wu, Yueting Zhuang

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  • Compute Less to Get More: Using ORC to Improve Sparse Filtering

    Johannes Lederer, Sergio Guadarrama

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  • A Local Sparse Model for Matching Problem

    Bo Jiang, Jin Tang, Chris Ding, Bin Luo

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  • Complex Event Detection via Event Oriented Dictionary Learning

    Yan Yan, Yi Yang, Haoquan Shen, Deyu Meng, Gaowen Liu, Alex Hauptmann, Nicu Sebe

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  • Leveraging Common Structure to Improve Prediction across Related Datasets

    Matt Barnes, Nick Gisolfi, Madalina Fiterau, Artur Dubrawski

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  • Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System

    Nick Gisolfi, Madalina Fiterau, Artur Dubrawski

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  • Binarisation via Dualisation for Valued Constraints

    David Cohen, Martin Cooper, Peter Jeavons, Stanislav Zivny

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  • Efficient Extraction of QBF (Counter)models from Long-Distance Resolution Proofs

    Valeriy Balabanov, Jie-Hong Jiang, Mikolas Janota, Magdalena Widl

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  • On Computing Maximal Subsets of Clauses that Must Be Satisfiable with Possibly Mutually-Contradictory Assumptive Contexts

    Philippe Besnard, Eric Grégoire, Jean-Marie Lagniez

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  • SAT-Based Strategy Extraction in Reachability Games

    Niklas Een, Alexander Legg, Nina Narodytska, Leonid Ryzhyk

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  • SMT-Based Validation of Timed Failure Propagation Graphs

    Marco Bozzano, Alessandro Cimatti, Marco Gario, Andrea Micheli

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  • The Extendable-Triple Property: A New CSP Tractable Class beyond BTP

    Philippe Jégou, Cyril Terrioux

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  • SAT Modulo Monotonic Theories

    Sam Bayless, Noah Bayless, Holger Hoos, Alan Hu

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  • Abstraction for Solving Large Incomplete-Information Games

    Tuomas Sandholm

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  • Strong Bounds Consistencies and Their Application to Linear Constraints

    Christian Bessiere, Anastasia Paparrizou, Kostas Stergiou

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  • Steering Evolution Strategically: Computational Game Theory and Opponent Exploitation for Treatment Planning, Drug Design, and Synthetic Biology

    Tuomas Sandholm

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  • Impact of Modeling Languages on the Theory and Practice in Planning Research

    Jussi Rintanen

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  • Semantic Representation

    Lenhart Schubert

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  • On the Diagnosis of Cyber-Physical Production Systems

    Oliver Niggemann, Volker Lohweg

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  • Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education

    Xiaojin Zhu

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  • Compile!

    Pierre Marquis

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  • Conducting Neuroscience to Guide the Development of AI

    Jeffrey Siskind

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  • Mechanism Learning with Mechanism Induced Data

    Tie-Yan Liu, Wei Chen, Tao Qin

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  • Towards a Programmer’s Apprentice (Again)

    Howard Shrobe, Boris Katz, Randall Davis

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  • Characterizing Performance of Consistency Algorithms by Algorithm Configuration of Random CSP Generators

    Daniel Geschwender, Robert Woodward, Berthe Choueiry

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  • Multimedia Data for the Visually Impaired

    Niket Tandon, Shekhar Sharma, Tanima Makkad

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  • A Multi-Pass Sieve for Name Normalization

    Jennifer D'Souza

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  • A Succinct Conceptualization of the Foundations for a Network Organization Paradigm

    Saad Alqithami

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  • Just-in-Time Hierarchical Constraint Decomposition

    Valentin Mayer-Eichberger

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  • Accelerating SAT Solving by Common Subclause Elimination

    Yaowei Yan, Chris Gutierrez, Jeriah Jn-Charles, Forrest Bao, Yuanlin Zhang

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  • A Goal-Based Model of Personality for Planning-Based Narrative Generation

    Julio Bahamon, Camille Barot, R. Michael Young

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  • Effect of Spatial Pooler Initialization on Column Activity in Hierarchical Temporal Memory

    Mackenzie Leake, Liyu Xia, Kamil Rocki, Wayne Imaino

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  • What Is the Longest River in the USA? Semantic Parsing for Aggregation Questions

    Kun Xu, Sheng Zhang, Yansong Feng, Songfang Huang, Dongyan Zhao

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  • Global Policy Construction in Modular Reinforcement Learning

    Ruohan Zhang, Zhao Song, Dana Ballard

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  • Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version)

    Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe

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  • Graphical Representation of Assumption-Based Argumentation

    Claudia Schulz

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  • Planning with Numeric Timed Initial Fluents

    Chiara Piacentini, Maria Fox, Derek Long

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  • Active Learning for Informative Projection Retrieval

    Madalina Fiterau, Artur Dubrawski

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  • Touchless Telerobotic Surgery — Is It Possible at All?

    Tian Zhou, Maria Cabrera, Juan Wachs

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  • Predicting the Quality of User Experiences to Improve Productivity and Wellness

    Priya Donti, Jacob Rosenbloom, Alex Gruver, James Jr Boerkoel

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  • Placing Influencing Agents in a Flock

    Katie Genter, Peter Stone

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  • On Manipulablity of Random Serial Dictatorship in Sequential Matching with Dynamic Preferences

    Hadi Hosseini, Kate Larson, Robin Cohen

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  • A Sequence Labeling Approach to Deriving Word Variants

    Jennifer D'Souza

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  • Representation Discovery for MDPs Using Bisimulation Metrics

    Sherry Ruan, Gheorghe Comanici, Prakash Panangaden, Doina Precup

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  • Sorted Neighborhood for the Semantic Web

    Mayank Kejriwal

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  • Actionable Combined High Utility Itemset Mining

    Jingyu Shao, Junfu Yin, Wei Liu, Longbing Cao

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  • Modelling Individual Negative Emotion Spreading Process with Mobile Phones

    Zhanwei Du, Yongjian Yang, Chuang Ma, Yuan Bai

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  • Designing Vaccines that Are Robust to Virus Escape

    Swetasudha Panda, Yevgeniy Vorobeychik

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  • Learning Word Vectors Efficiently Using Shared Representations and Document Representations

    Qun Luo, Weiran Xu

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  • Acronym Disambiguation Using Word Embedding

    Chao Li, Lei Ji, Jun Yan

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  • Spatio-Temporal Signatures of User-Centric Data: How Similar Are We?

    Samta Shukla, Aditya Telang, Salil Joshi, L. Subramaniam

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  • Stochastic Blockmodeling for Online Advertising

    Li Chen, Matthew Patton

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  • Query Abduction for ELH Ontologies

    Mahsa Chitsaz, Zhe Wang, Kewen Wang

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  • Improving Microblog Retrieval from Exterior Corpus by Automatically Constructing Microblogging Corpus

    Wenting Tu, David Cheung, Nikos Mamoulis

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  • Time-Sensitive Opinion Mining for Prediction

    Wenting Tu, David Cheung, Nikos Mamoulis

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  • Combining Ontology Class Expression Generation with Mathematical Modeling for Ontology Learning

    Jedrzej Potoniec, Agnieszka Ławrynowicz

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  • Language Independent Feature Extractor

    Young-Seob Jeong, Ho-Jin Choi

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  • Self-Organized Collective Decision-Making in a 100-Robot Swarm

    Gabriele Valentini, Heiko Hamann, Marco Dorigo

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  • Active Advice Seeking for Inverse Reinforcement Learning

    Phillip Odom, Sriraam Natarajan

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  • GEF: A Self-Programming Robot Using Grammatical Evolution

    Charles Peabody, Jennifer Seitzer

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  • Is It Rectangular? Using I Spy as an Interactive, Game-Based Approach to Multimodal Robot Learning

    Natalie Parde, Michalis Papakostas, Konstantinos Tsiakas, Rodney Nielsen

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  • Dealing with Trouble: A Data-Driven Model of a Repair Type for a Conversational Agent

    Sviatlana Höhn

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  • Combining Machine Learning and Crowdsourcing for Better Understanding Commodity Reviews

    Heting Wu, Hailong Sun, Yili Fang, Kefan Hu, Yongqing Xie, Yangqiu Song, Xudong Liu

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  • Handling Uncertainty in Answer Set Programming

    Yi Wang, Joohyung Lee

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  • Hierarchical Monte-Carlo Planning

    Ngo Anh Vien, Marc Toussaint

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  • On Interruptible Pure Exploration in Multi-Armed Bandits

    Alexander Shleyfman, Antonín Komenda, Carmel Domshlak

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  • An Improved Lower Bound for Bayesian Network Structure Learning

    Xiannian Fan, Changhe Yuan

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  • Stable Model Counting and Its Application in Probabilistic Logic Programming

    Rehan Aziz, Geoffrey Chu, Christian Muise, Peter Stuckey

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  • On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions

    Aaditya Ramdas, Sashank Jakkam Reddi, Barnabas Poczos, Aarti Singh, Larry Wasserman

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  • Knowledge-Based Probabilistic Logic Learning

    Phillip Odom, Tushar Khot, Reid Porter, Sriraam Natarajan

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  • Chance-Constrained Scheduling via Conflict-Directed Risk Allocation

    Andrew Wang, Brian Williams

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  • Submodular Surrogates for Value of Information

    Yuxin Chen, Shervin Javdani, Amin Karbasi, J. Bagnell, Siddhartha Srinivasa, Andreas Krause

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  • Solving Uncertain MDPs with Objectives that Are Separable over Instantiations of Model Uncertainty

    Yossiri Adulyasak, Pradeep Varakantham, Asrar Ahmed, Patrick Jaillet

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  • Egalitarian Collective Decision Making under Qualitative Possibilistic Uncertainty: Principles and Characterization

    Nahla Ben Amor, Fatma Essghaier, Helene Fargier

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  • Nonparametric Scoring Rules

    Erik Zawadzki, Sebastien Lahaie

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  • Better Be Lucky than Good: Exceeding Expectations in MDP Evaluation

    Thomas Keller, Florian Geißer

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  • On Fairness in Decision-Making under Uncertainty: Definitions, Computation, and Comparison

    Chongjie Zhang, Julie Shah

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  • Tighter Value Function Bounds for Bayesian Reinforcement Learning

    Kanghoon Lee, Kee-Eung Kim

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  • Reward Shaping for Model-Based Bayesian Reinforcement Learning

    Hyeoneun Kim, Woosang Lim, Kanghoon Lee, Yung-Kyun Noh, Kee-Eung Kim

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  • Representation Discovery for MDPs Using Bisimulation Metrics

    Sherry Ruan, Gheorghe Comanici, Prakash Panangaden, Doina Precup

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  • Approximately Optimal Risk-Averse Routing Policies via Adaptive Discretization

    Darrell Hoy, Evdokia Nikolova

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  • A New Computational Intelligence Model for Long-Term Prediction of Solar and Geomagnetic Activity

    Mahboobeh Parsapoor, John Brooke, Bertil Svensson

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  • Coupled Collaborative Filtering for Context-aware Recommendation

    Xinxin Jiang, Wei Liu, Longbing Cao, Guodong Long

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  • Improving Cross-Domain Recommendation through Probabilistic Cluster-Level Latent Factor Model

    Siting Ren, Sheng Gao, Jianxin Liao, Jun Guo

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  • Crowdsourced Action-Model Acquisition for Planning

    Hankz Zhuo

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  • From Non-Negative to General Operator Cost Partitioning

    Florian Pommerening, Malte Helmert, Gabriele Röger, Jendrik Seipp

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  • Measuring Plan Diversity: Pathologies in Existing Approaches and A New Plan Distance Metric

    Robert Goldman, Ugur Kuter

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  • This Time the Robot Settles for a Cost: A Quantitative Approach to Temporal Logic Planning with Partial Satisfaction

    Morteza Lahijanian, Shaull Almagor, Dror Fried, Lydia Kavraki, Moshe Vardi

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  • Robot Learning Manipulation Action Plans by “Watching” Unconstrained Videos from the World Wide Web

    Yezhou Yang, Yi Li, Cornelia Fermuller, Yiannis Aloimonos

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  • Proximal Operators for Multi-Agent Path Planning

    Jose Bento, Nate Derbinsky, Charles Mathy, Jonathan Yedidia

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  • Spatio-Spectral Exploration Combining In Situ and Remote Measurements

    David Thompson, David Wettergreen, Greydon Foil, Michael Furlong, Anatha Kiran

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  • Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation

    Mathew Monfort, Anqi Liu, Brian Ziebart

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  • Lifting Model Sampling for General Game Playing to Incomplete-Information Models

    Michael Schofield, Michael Thielscher

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  • Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs

    Deepak Venugopal, Somdeb Sarkhel, Vibhav Gogate

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  • Representing Aggregators in Relational Probabilistic Models

    David Buchman, David Poole

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  • Lifted Probabilistic Inference for Asymmetric Graphical Models

    Guy Van den Broeck, Mathias Niepert

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  • Recovering Causal Effects from Selection Bias

    Elias Bareinboim, Jin Tian

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  • Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks

    Jeremy Weiss, Sriraam Natarajan, C. Page

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  • Bayesian Networks Specified Using Propositional and Relational Constructs: Combined, Data, and Domain Complexity

    Fabio Cozman, Denis Maua

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  • Linear-Time Gibbs Sampling in Piecewise Graphical Models

    Hadi Afshar, Scott Sanner, Ehsan Abbasnejad

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  • Optimal Cost Almost-Sure Reachability in POMDPs

    Krishnendu Chatterjee, Martin Chmelik, Raghav Gupta, Ayush Kanodia

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  • Value of Information Based on Decision Robustness

    Suming Chen, Arthur Choi, Adnan Darwiche

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  • Loss-Calibrated Monte Carlo Action Selection

    Ehsan Abbasnejad, Justin Domke, Scott Sanner

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  • An Exact Algorithm for Solving Most Relevant Explanation in Bayesian Networks

    Xiaoyuan Zhu, Changhe Yuan

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  • SMT-Based Nonlinear PDDL+ Planning

    Daniel Bryce, Sicun Gao, David Musliner, Robert Goldman

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  • Multi-Objective MDPs with Conditional Lexicographic Reward Preferences

    Kyle Wray, Shlomo Zilberstein, Abdel-Illah Mouaddib

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  • Heuristics and Symmetries in Classical Planning

    Alexander Shleyfman, Michael Katz, Malte Helmert, Silvan Sievers, Martin Wehrle

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  • Tractable Cost-Optimal Planning over Restricted Polytree Causal Graphs

    Meysam Aghighi, Peter Jonsson, Simon Ståhlberg

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  • Real-Time Symbolic Dynamic Programming

    Luis Vianna, Leliane de Barros, Scott Sanner

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  • Resolving Over-Constrained Probabilistic Temporal Problems through Chance Constraint Relaxation

    Peng Yu, Cheng Fang, Brian Williams

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  • Strong Temporal Planning with Uncontrollable Durations: A State-Space Approach

    Alessandro Cimatti, Andrea Micheli, Marco Roveri

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  • Preference Planning for Markov Decision Processes

    Meilun Li, Zhikun She, Andrea Turrini, Lijun Zhang

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  • Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes

    Pascal Poupart, Aarti Malhotra, Pei Pei, Kee-Eung Kim, Bongseok Goh, Michael Bowling

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  • tBurton: A Divide and Conquer Temporal Planner

    David Wang, Brian Williams

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  • An Efficient Forest-Based Tabu Search Algorithm for the Split-delivery Vehicle Routing Problem

    Zizhen Zhang, Huang He, Zhixing Luo, Hu Qin, Songshan Guo

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  • Tractability of Planning with Loops

    Siddharth Srivastava, Shlomo Zilberstein, Abhishek Gupta, Pieter Abbeel, Stuart Russell

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  • Information Gathering and Reward Exploitation of Subgoals for POMDPs

    Hang Ma, Joelle Pineau

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  • Improving Exploration in UCT Using Local Manifolds

    Sriram Srinivasan, Erik Talvitie, Michael Bowling

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  • Variable-Deletion Backdoors to Planning

    Martin Kronegger, Sebastian Ordyniak, Andreas Pfandler

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  • Factored MCTS for Large Scale Stochastic Planning

    Hao Cui, Roni Khardon, Alan Fern, Prasad Tadepalli

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  • Robustness in Probabilistic Temporal Planning

    Jeb Brooks, Emilia Reed, Alexander Gruver, James Boerkoel

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  • Transition Constraints for Parallel Planning

    Nina Ghooshchi, Majid Namazi, M A Hakim Newton, Abdul Sattar

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  • Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection

    Yash Satsangi, Shimon Whiteson, Frans Oliehoek

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  • Planning Over Multi-Agent Epistemic States: A Classical Planning Approach

    Christian Muise, Vaishak Belle, Paolo Felli, Sheila McIlraith, Tim Miller, Adrian Pearce, Liz Sonenberg

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  • Maximin Separation Probability Clustering

    Gao Huang, Jianwen Zhang, Shiji Song, Zheng Chen

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  • Expressing Arbitrary Reward Functions as Potential-Based Advice

    Anna Harutyunyan, Sam Devlin, Peter Vrancx, Ann Nowe

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  • Localized Centering: Reducing Hubness in Large-Sample Data

    Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Miloš Radovanović

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  • Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment

    Haitham Bou Ammar, Eric Eaton, Paul Ruvolo, Matthew Taylor

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  • Adaptive Sampling with Optimal Cost for Class-Imbalance Learning

    Yuxin Peng

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  • Learning Robust Locality Preserving Projection via p-Order Minimization

    Hua Wang, Feiping Nie, Heng Huang

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  • Learning Relational Kalman Filtering

    Jaesik Choi, Eyal Amir, Tianfang Xu, Albert Valocchi

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  • Bayesian Model Averaging Naive Bayes (BMA-NB): Averaging over an Exponential Number of Feature Models in Linear Time

    Ga Wu, Scott Sanner, Rodrigo Oliveira

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  • Spectral Learning of Predictive State Representations with Insufficient Statistics

    Alex Kulesza, Nan Jiang, Satinder Singh

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  • Outlier-Robust Convex Segmentation

    Itamar Katz, Koby Crammer

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  • Pathway Graphical Lasso

    Maxim Grechkin, Maryam Fazel, Daniela Witten, Su-In Lee

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  • Aligning Mixed Manifolds

    Thomas Boucher, CJ Carey, Sridhar Mahadevan, Melinda Dyar

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  • Low-Rank Similarity Metric Learning in High Dimensions

    Wei Liu, Cun Mu, Rongrong Ji, Shiqian Ma, John Smith, Shih-Fu Chang

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  • Automatic Configuration of Sequential Planning Portfolios

    Jendrik Seipp, Silvan Sievers, Malte Helmert, Frank Hutter

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  • Factored Symmetries for Merge-and-Shrink Abstractions

    Silvan Sievers, Martin Wehrle, Malte Helmert, Alexander Shleyfman, Michael Katz

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  • A Generalization of Sleep Sets Based on Operator Sequence Redundancy

    Robert C. Holte, Yusra Alkhazraji, Martin Wehrle

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  • Efficient Bounds in Heuristic Search Algorithms for Stochastic Shortest Path Problems

    Eric Hansen, Ibrahim Abdoulahi

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  • Discretization of Temporal Models with Application to Planning with SMT

    Jussi Rintanen

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  • Goal Recognition Design for Non-Optimal Agents

    Sarah Keren, Avigdor Gal, Erez Karpas

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  • Some Fixed Parameter Tractability Results for Planning with Non-Acyclic Domain-Transition Graphs

    Christer Bäckström

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  • Online Boosting Algorithms for Anytime Transfer and Multitask Learning

    Boyu Wang, Joelle Pineau

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  • Self-Paced Curriculum Learning

    Lu Jiang, Deyu Meng, Qian Zhao, Shiguang Shan, Alexander Hauptmann

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  • Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction

    Anqi Liu, Lev Reyzin, Brian Ziebart

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  • Large Margin Metric Learning for Multi-Label Prediction

    Weiwei Liu, Ivor Tsang

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  • SP-SVM: Large Margin Classifier for Data on Multiple Manifolds

    Bin Shen, Bao-Di Liu, Qifan Wang, Yi Fang, Jan Allebach

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  • Policy Tree: Adaptive Representation for Policy Gradient

    Ujjwal Das Gupta, Erik Talvitie, Michael Bowling

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  • Modelling Class Noise with Symmetric and Asymmetric Distributions

    Jun Du, Zhihua Cai

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  • Optimal Estimation of Multivariate ARMA Models

    Martha White, Junfeng Wen, Michael Bowling, Dale Schuurmans

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  • Agnostic System Identification for Monte Carlo Planning

    Erik Talvitie

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  • Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model

    Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada

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  • Multi-Objective Reinforcement Learning with Continuous Pareto Frontier Approximation

    Matteo Pirotta, Simone Parisi, Marcello Restelli

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  • Convex Batch Mode Active Sampling via α-Relative Pearson Divergence

    Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yi-Dong Shen

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  • Fast Gradient Descent for Drifting Least Squares Regression, with Application to Bandits

    Nathaniel Korda, Prashanth L.A., Remi Munos

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  • A Generalized Reduced Linear Program for Markov Decision Processes

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