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• Counting-MLNs: Learning Relational Structure for Decision Making

  Aniruddh Nath, Matthew Richardson

  1068-1074

  2021-09-20

• Design and Optimization of an Omnidirectional Humanoid Walk: A Winning Approach at the RoboCup 2011 3D Simulation Competition

  Patrick MacAlpine, Samuel Barrett, Daniel Urieli, Victor Vu, Peter Stone

  1047-1053

  2021-09-20

• Sparse Principal Component Analysis with Constraints

  Mihajlo Grbovic, Christopher Dance, Slobodan Vucetic

  935-941

  2021-09-20

• Markov Network Structure Learning: A Randomized Feature Generation Approach

  Jan Van Haaren, Jesse Davis

  1148-1154

  2021-09-20

• Convex Kernelized Sorting

  Nemanja Djuric, Mihajlo Grbovic, Slobodan Vucetic

  893-899

  2021-09-20

• Adaptive Step-Size for Online Temporal Difference Learning

  William Dabney, Andrew Barto

  872-878

  2021-09-20

• Learning Games from Videos Guided by Descriptive Complexity

  Lukasz Kaiser

  963-969

  2021-09-20

• Learning from Demonstration for Goal-Driven Autonomy

  Ben Weber, Michael Mateas, Arnav Jhala

  1176-1182

  2021-09-20

• Context Tree Maximizing

  Phuong Nguyen, Peter Sunehag, Marcus Hutter

  1075-1082

  2021-09-20

• Hierarchical Double Dirichlet Process Mixture of Gaussian Processes

  Aditya Tayal, Pascal Poupart, Yuying Li

  1126-1133

  2021-09-20

• Topic Correlation Analysis for Cross-Domain Text Classification

  Lianghao Li, Xiaoming Jin, Mingsheng Long

  998-1004

  2021-09-20

• Sparse Probabilistic Relational Projection

  Wu-Jun Li, Dit-Yan Yeung

  1005-1011

  2021-09-20

• Learning the Kernel Matrix with Low-Rank Multiplicative Shaping

  Tomer Levinboim, Fei Sha

  984-990

  2021-09-20

• Discriminative Clustering via Generative Feature Mapping

  Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia

  1162-1168

  2021-09-20

• Compressed Least-Squares Regression on Sparse Spaces

  Mahdi Milani Fard, Yuri Grinberg, Joelle Pineau, Doina Precup

  1054-1060

  2021-09-20

• Conservative and Greedy Approaches to Classification-Based Policy Iteration

  Mohammad Ghavamzadeh, Alessandro Lazaric

  914-920

  2021-09-20

• Supervised Probabilistic Robust Embedding with Sparse Noise

  Yu Zhang, Dit-Yan Yeung, Eric Xing

  1226-1232

  2021-09-20

• Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning

  Diane Oyen, Terran Lane

  1091-1097

  2021-09-20

• Efficient Online Learning for Large-Scale Sparse Kernel Logistic Regression

  Lijun Zhang, Rong Jin, Chun Chen, Jiajun Bu, Xiaofei He

  1219-1225

  2021-09-20

• Margin-Based Feature Selection in Incomplete Data

  Qiang Lou, Zoran Obradovic

  1040-1046

  2021-09-20

• Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection

  Mingkui Tan, Ivor Tsang, Li Wang, Xinming Zhang

  1119-1125

  2021-09-20

• Online Kernel Selection: Algorithms and Evaluations

  Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Yi, Steven Hoi

  1197-1203

  2021-09-20

• Learning Behavior Models for Hybrid Timed Systems

  Oliver Niggemann, Benno Stein, Asmir Vodencarevic, Alexander Maier, Hans Kleine Büning

  1083-1090

  2021-09-20

• Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction

  Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto, Marco Saerens

  1112-1118

  2021-09-20

• Learning SVM Classifiers with Indefinite Kernels

  Suicheng Gu, Yuhong Guo

  942-948

  2021-09-20