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• Kernel-Based Reinforcement Learning on Representative States

  Branislav Kveton, Georgios Theocharous

  977-983

  2021-09-20

• Semi-Supervised Kernel Matching for Domain Adaptation

  Min Xiao, Yuhong Guo

  1183-1189

  2021-09-20

• Pairwise Exemplar Clustering

  Yingzhen Yang, Xinqi Chu, Feng Liang, Thomas Huang

  1204-1211

  2021-09-20

• Transfer Learning with Graph Co-Regularization

  Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang

  1033-1039

  2021-09-20

• Unsupervised Feature Selection Using Nonnegative Spectral Analysis

  Zechao Li, Yi Yang, Jing Liu, Xiaofang Zhou, Hanqing Lu

  1026-1032

  2021-09-20

• Multi-Label Learning by Exploiting Label Correlations Locally

  Sheng-Jun Huang, Zhi-Hua Zhou

  949-955

  2021-09-20

• A Bayesian Approach to the Data Description Problem

  Alireza Ghasemi, Hamid R. Rabiee, Mohammad Taghi Manzuri, Mohammad Hossein Rohban

  907-913

  2021-09-20

• TD-DeltaPi: A Model-Free Algorithm for Efficient Exploration

  Bruno da Silva, Andrew Barto

  886-892

  2021-09-20

• Towards Discovering What Patterns Trigger What Labels

  Yu-Feng Li, Ju-Hua Hu, Yuang Jiang, Zhi-Hua Zhou

  1012-1018

  2021-09-20

• Rule Ensemble Learning Using Hierarchical Kernels in Structured Output Spaces

  Naveen Nair, Amrita Saha, Ganesh Ramakrishnan, Shonali Krishnaswamy

  1061-1067

  2021-09-20

• Hierarchical Modeling with Tensor Inputs

  Yada Zhu, Jingrui He, Rick Lawrence

  1233-1239

  2021-09-20

• Weighted Clustering

  Margareta Ackerman, Shai Ben-David, Simina Brânzei, David Loker

  858-863

  2021-09-20

• Sequence Labeling with Non-Negative Weighted Higher Order Features

  Xian Qian, Yang Liu

  1098-1104

  2021-09-20

• Manifold Warping: Manifold Alignment over Time

  Hoa Vu, Clifton Carey, Sridhar Mahadevan

  1155-1161

  2021-09-20

• Knapsack Based Optimal Policies for Budget–Limited Multi–Armed Bandits

  Long Tran-Thanh, Archie Chapman, Alex Rogers, Nicholas Jennings

  1134-1140

  2021-09-20

• Teaching Machines to Learn by Metaphors

  Omer Levy, Shaul Markovitch

  991-997

  2021-09-20

• Probabilistic Models for Common Spatial Patterns: Parameter-Expanded EM and Variational Bayes

  Hyohyeong Kang, Seungjin Choi

  970-976

  2021-09-20

• A Bregman Divergence Optimization Framework for Ranking on Data Manifold and Its New Extensions

  Bin Xu, Jiajun Bu, Chun Chen, Deng Cai

  1190-1196

  2021-09-20

• Ensemble Feature Weighting Based on Local Learning and Diversity

  Yun Li, Suyan Gao, Songcan Chen

  1019-1025

  2021-09-20

• Colorization by Matrix Completion

  Shusen Wang, Zhihua Zhang

  1169-1175

  2021-09-20

• A Parameterized Runtime Analysis of Evolutionary Algorithms for the Euclidean Traveling Salesperson Problem

  Andrew Sutton, Frank Neumann

  1105-1111

  2021-09-20

• Efficient Multi-Stage Conjugate Gradient for Trust Region Step

  Pinghua Gong, Changshui Zhang

  921-928

  2021-09-20

• Classification of Sparse Time Series via Supervised Matrix Factorization

  Josif Grabocka, Alexandros Nanopoulos, Lars Schmidt-Thieme

  929-934

  2021-09-20

• Approximately Revenue-Maximizing Auctions for Deliberative Agents

  L. Celis, Anna Karlin, Kevin Leyton-Brown, C. Nguyen, David Thompson

  1313-1318

  2021-09-20

• Finding Optimal Abstract Strategies in Extensive-Form Games

  Michael Johanson, Nolan Bard, Neil Burch, Michael Bowling

  1371-1379

  2021-09-20