Papers
SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation
Chenwei Cai, Ruining He, Julian McAuley
Context Attentive Bandits: Contextual Bandit with Restricted Context
Djallel Bouneffouf, Irina Rish, Guillermo Cecchi et al.
Human-Centric Justification of Machine Learning Predictions
Or Biran, Kathleen McKeown
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning
Lidong Bing, William W. Cohen, Bhuwan Dhingra
Unsupervised Learning of Deep Feature Representation for Clustering Egocentric Actions
Bharat Lal Bhatnagar, Suriya Singh, Chetan Arora et al.
AccGenSVM: Selectively Transferring from Previous Hypotheses
Diana Benavides-Prado, Yun Sing Koh, Patricia Riddle
Handling Noise in Boolean Matrix Factorization
Radim Belohlavek, Martin Trnecka
Mining Convex Polygon Patterns with Formal Concept Analysis
Aimene Belfodil, Sergei O. Kuznetsov, Céline Robardet et al.
Efficient Reinforcement Learning with Hierarchies of Machines by Leveraging Internal Transitions
Aijun Bai, Stuart Russell
Bayesian Aggregation of Categorical Distributions with Applications in Crowdsourcing
Alexandry Augustin, Matteo Venanzi, Alex Rogers et al.
Universal Reinforcement Learning Algorithms: Survey and Experiments
John Aslanides, Jan Leike, Marcus Hutter
Grounding of Human Environments and Activities for Autonomous Robots
Muhannad Alomari, Paul Duckworth, Nils Bore et al.
RHash: Robust Hashing via L_infinity-norm Distortion
Amirali Aghazadeh, Andrew Lan, Anshumali Shrivastava et al.
Contextual Covariance Matrix Adaptation Evolutionary Strategies
Abbas Abdolmaleki, Bob Price, Nuno Lau et al.
A Unifying Framework for Probabilistic Belief Revision
Zhiqiang Zhuang, James Delgrande, Abhaya Nayak et al.
Symbolic LTLf Synthesis
Shufang Zhu, Lucas M. Tabajara, Jianwen Li et al.
Role Forgetting for ALCOQH(universal role)-Ontologies Using an Ackermann-Based Approach
Yizheng Zhao, Renate A. Schmidt
Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination
Kun Zhang, Biwei Huang, Jiji Zhang et al.
Transfer Learning in Multi-Armed Bandits: A Causal Approach
Junzhe Zhang, Elias Bareinboim
Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems
Farhad Zafari, Rasoul Rahmani, Irene Moser
Aggregating Crowd Wisdoms with Label-aware Autoencoders
Li'ang Yin, Jianhua Han, Weinan Zhang et al.
Knowledge Graph Representation with Jointly Structural and Textual Encoding
Jiacheng Xu, Xipeng Qiu, Kan Chen et al.
Efficient Inference and Computation of Optimal Alternatives for Preference Languages Based On Lexicographic Models
Nic Wilson, Anne-Marie George
A Characterization Theorem for a Modal Description Logic
Paul Wild, Lutz Schröder
Inferring Human Attention by Learning Latent Intentions
Ping Wei, Dan Xie, Nanning Zheng et al.