IJCAI 2015

646 papers

Thompson Sampling for Budgeted Multi-Armed Bandits

Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu, Tie-yan Liu

Multi-Graph-View Learning for Complicated Object Classification

Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang

Quantized Correlation Hashing for Fast Cross-Modal Search

Botong Wu, Qiang Yang, Wei-Shi Zheng, Yizhou Wang, Jingdong Wang

Imaging Time-Series to Improve Classification and Imputation

Zhiguang Wang, Tim Oates

A Joint Optimization Framework of Sparse Coding and Discriminative Clustering

Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Jinyan Li, Simon Fong

Discriminative Unsupervised Dimensionality Reduction

Xiaoqian Wang, Yun Liu, Feiping Nie, Heng Huang

A Soft Version of Predicate Invention Based on Structured Sparsity

William Yang Wang, Kathryn Mazaitis, William W. Cohen

Ranking Preserving Hashing for Fast Similarity Search

Qifan Wang, Zhiwei Zhang, Luo Si

Learning to Hash on Partial Multi-Modal Data

Qifan Wang, Luo Si, Bin Shen

An Efficient Classifier Based on Hierarchical Mixing Linear Support Vector Machines

Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye

Semantic Topic Multimodal Hashing for Cross-Media Retrieval

Di Wang, Xinbo Gao, Xiumei Wang, Lihuo He

Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations

Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han

Feature Selection from Microarray Data via an Ordered Search with Projected Margin

Saulo Moraes Villla, Saul de Castro Leite, Raul Fonseca Neto

Online Learning of k-CNF Boolean Functions

Joel Veness, Marcus Hutter, Laurent Orseau, Marc Bellemare

Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes

Nicholay Topin, Nicholas Haltmeyer, Shawn Squire, John Winder, Marie desJardins

Convergence of Common Proximal Methods for L1-Regularized Least Squares

Shaozhe Tao, Daniel Boley, Shuzhong Zhang

Sketch the Storyline with CHARCOAL: A Non-Parametric Approach

Siliang Tang, Fei Wu, Si Li, Weiming Lu, Zhongfei Zhang

Polytree-Augmented Classifier Chains for Multi-Label Classification

Lu Sun, Mineichi Kudo

Equivalence Results between Feedforward and Recurrent Neural Networks for Sequences

Alessandro Sperduti

Open Domain Short Text Conceptualization: A Generative + Descriptive Modeling Approach

Yangqiu Song, Shusen Wang, Haixun Wang

A Geometric Theory of Feature Selection and Distance-Based Measures

Kilho Shin, Adrian Pino Angulo

Semi-Orthogonal Multilinear PCA with Relaxed Start

Qiquan Shi, Haiping Lu

Deep Linear Coding for Fast Graph Clustering

Ming Shao, Sheng Li, Zhengming Ding, Yun Fu

Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning

Sai Nageswar Satchidanand, Harini Ananthapadmanaban, Balaraman Ravindran

Data Compression for Learning MRF Parameters

Khaled S. Refaat, Adnan Darwiche

Nonparametric Independence Testing for Small Sample Sizes

Aaditya Ramdas, Leila Wehbe

Scalable Probabilistic Tensor Factorization for Binary and Count Data

Piyush Rai, Changwei Hu, Matthew Harding, Lawrence Carin

EigenGP: Gaussian Process Models with Adaptive Eigenfunctions

Hao Peng, Yuan Qi

Graph Invariant Kernels

Francesco Orsini, Paolo Frasconi, Luc De Raedt

Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing

Yulei Niu, Zhiwu Lu, Songfang Huang, Peng Han, Ji-Rong Wen

On the Runtime of Randomized Local Search and Simple Evolutionary Algorithms for Dynamic Makespan Scheduling

Frank Neumann, Carsten Witt

Inverse Reinforcement Learning in Relational Domains

Thibaut Munzer, Bilal Piot, Matthieu Geist, Olivier Pietquin, Manuel Lopes

Image Feature Learning for Cold Start Problem in Display Advertising

Kaixiang Mo, Bo Liu, Lei Xiao, Yong Li, Jie Jiang

EntScene: Nonparametric Bayesian Temporal Segmentation of Videos Aimed at Entity-Driven Scene Detection

Adway Mitra, Chiranjib Bhattacharyya, Soma Biswas

Introspective Forecasting

Loizos Michael

Using A* for Inference in Probabilistic Classifier Chains

Deiner Mena, Elena Montañés, José Ramón Quevedo, Juan José del Coz

Optimizing Locally Linear Classifiers with Supervised Anchor Point Learning

Xue Mao, Zhouyu Fu, Ou Wu, Weiming Hu

Between Imitation and Intention Learning

James MacGlashan, Michael L. Littman

Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences

Dixin Luo, Hongteng Xu, Yi Zhen, Xia Ning, Hongyuan Zha

Robust Kernel Dictionary Learning Using a Whole Sequence Convergent Algorithm

Huaping Liu, Jie Qin, Hong Cheng, Fuchun Sun

Regularizing Flat Latent Variables with Hierarchical Structures

Rongcheng Lin, Huayu Li, Xiaojun Quan, Richang Hong, Zhiang Wu

Density Corrected Sparse Recovery when R.I.P. Condition Is Broken

Ming Lin, Zhengzhong Lan, Alexander G. Hauptmann

Mixed Error Coding for Face Recognition with Mixed Occlusions

Ronghua Liang, Xiao-Xin Li

Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective

Yitan Li, Linli Xu, Fei Tian, Liang Jiang, Xiaowei Zhong

Multi-Task Model and Feature Joint Learning

Ya Li, Xinmei Tian, Tongliang Liu, Dacheng Tao

Multi-Label Classification with Feature-Aware Non-Linear Label Space Transformation

Xin Li, Yuhong Guo

Data Sparseness in Linear SVM

Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling

Symbol Acquisition for Probabilistic High-Level Planning

George Konidaris, Leslie Kaelbling, Tomás Lozano-Pérez

Collaborative Place Models

Berk Kapicioglu, David S. Rosenberg, Robert E. Schapire, Tony Jebara

Fast Cross-Validation for Incremental Learning

Pooria Joulani, András György, Csaba Szepesvári

Robust Dictionary Learning with Capped l1-Norm

Wenhao Jiang, Feiping Nie, Heng Huang

Training-Time Optimization of a Budgeted Booster

Yi Huang, Brian Powers, Lev Reyzin

Scalable Gaussian Process Regression Using Deep Neural Networks

Wenbing Huang, Deli Zhao, Fuchun Sun, Huaping Liu, Edward Chang

A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering

Jin Huang, Feiping Nie, Heng Huang

Identification of Time-Dependent Causal Model: A Gaussian Process Treatment

Biwei Huang, Kun Zhang, Bernhard Schölkopf

Active Imitation Learning of Hierarchical Policies

Mandana Hamidi, Prasad Tadepalli, Robby Goetschalckx, Alan Fern

Robust Subspace Segmentation by Simultaneously Learning Data Representations and Their Affinity Matrix

Xiaojie Guo

Online Robust Low Rank Matrix Recovery

Xiaojie Guo

Bi-Parameter Space Partition for Cost-Sensitive SVM

Bin Gu, Victor S. Sheng, Shuo Li

Multi-Label Structure Learning with Ising Model Selection

Andre R. Goncalves, Fernando J. Von Zuben, Arindam Banerjee

Multitask Coactive Learning

Robby Goetschalckx, Alan Fern, Prasad Tadepalli

Pre-release Prediction of Crowd Opinion on Movies by Label Distribution Learning

Xin Geng, Peng Hou

Potential Based Reward Shaping for Hierarchical Reinforcement Learning

Yang Gao, Francesca Toni

Quiet: Faster Belief Propagation for Images and Related Applications

Yasuhiro Fujiwara, Dennis Shasha

Random Feature Mapping with Signed Circulant Matrix Projection

Chang Feng, Qinghua Hu, Shizhong Liao

Crowdsourced Semantic Matching of Multi-Label Annotations

Lei Duan, Satoshi Oyama, Masahito Kurihara, Haruhiko Sato

Robust Multiple Kernel K-means Using L21-Norm

Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan

Topic Modeling with Document Relative Similarities

Jianguang Du, Jing Jiang, Dandan Song, Lejian Liao

Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves

Tobias Domhan, Jost Tobias Springenberg, Frank Hutter

Deep Low-Rank Coding for Transfer Learning

Zhengming Ding, Ming Shao, Yun Fu

Intersecting Manifolds: Detection, Segmentation, and Labeling

Shay Deutsch, Gerard Guy Medioni

Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information

Cheng Deng, Zongting Lv, Wei Liu, Junzhou Huang, Dacheng Tao

Optimal Bayesian Hashing for Efficient Face Recognition

Qi Dai, Jianguo Li, Jun Wang, Yurong Chen, Yu-Gang Jiang

Learning Efficient Logical Robot Strategies Involving Composable Objects

Andrew Cropper, Stephen H. Muggleton

Robust Learning for Repeated Stochastic Games via Meta-Gaming

Jacob W. Crandall

Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization

Yiu-ming Cheung, Jian Lou

Mirror Representation for Modeling View-Specific Transform in Person Re-Identification

Ying-Cong Chen, Wei-Shi Zheng, Jianhuang Lai

Training-Efficient Feature Map for Shift-Invariant Kernels

Xixian Chen, Haiqin Yang, Irwin King, Michael R. Lyu

Model Metric Co-Learning for Time Series Classification

Huanhuan Chen, Fengzhen Tang, Peter Tino, Anthony G. Cohn, Xin Yao

Direct Policy Iteration with Demonstrations

Jessica Chemali, Alessandro Lazaric

A Space Alignment Method for Cold-Start TV Show Recommendations

Shiyu Chang, Jiayu Zhou, Pirooz Chubak, Junling Hu, Thomas Huang

Policy Shaping with Human Teachers

Thomas Cederborg, Ishaan Grover, Charles L Isbell, Andrea L Thomaz

Compressed Spectral Regression for Efficient Nonlinear Dimensionality Reduction

Deng Cai

Reinforcement Learning from Demonstration through Shaping

Tim Brys, Anna Harutyunyan, Halit Bener Suay, Sonia Chernova, Matthew E. Taylor

Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning

Haitham Bou Ammar, Eric Eaton, Jose Marcio Luna, Paul Ruvolo

Count-Based Frequency Estimation with Bounded Memory

Marc G. Bellemare

An Expectation-Maximization Algorithm to Compute a Stochastic Factorization From Data

Andre M. S. Barreto, Rafael L. Beirigo, Joelle Pineau, Doina Precup

A Graph Kernel Based on the Jensen-Shannon Representation Alignment

Lu Bai, Zhihong Zhang, Chaoyan Wang, Xiao Bai, Edwin Hancock

Maximum Entropy Semi-Supervised Inverse Reinforcement Learning

Julien Audiffren, Michal Valko, Alessandro Lazaric, Mohammad Ghavamzadeh

Learning Regular Languages via Alternating Automata

Dana Angluin, Sarah Eisenstat, Dana Fisman

Extending AGM Contraction to Arbitrary Logics

Zhiqiang Zhuang, Zhe Wang, Kewen Wang, James P Delgrande

First-Order Disjunctive Logic Programming vs Normal Logic Programming

Yi Zhou

Characterizing Causal Action Theories and Their Implementations in Answer Set Programming: Action Languages B, C, and Beyond

Haodi Zhang, Fangzhen Lin

Verification of Knowledge-Based Programs over Description Logic Actions

Benjamin Zarrieß, Jens Claßen

Computation and Complexity of Preference Inference Based on Hierarchical Models

Nic Wilson, Anne-Marie George, Barry O'Sullivan

Query Understanding through Knowledge-Based Conceptualization

Zhongyuan Wang, Kejun Zhao, Haixun Wang, Xiaofeng Meng, Ji-Rong Wen

A Complete Epistemic Planner without the Epistemic Closed World Assumption

Hai Wan, Rui Yang, Liangda Fang, Yongmei Liu, Huada Xu

AGM Revision of Beliefs about Action and Time

Marc van Zee, Dragan Doder, Mehdi Dastani, Leendert van der Torre

Efficiently Finding Conditional Instruments for Causal Inference

Benito van der Zander, Johannes Textor, Maciej Liśkiewicz

Characterizability in Belief Revision

György Turán, Jon Yaggie