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• Fair Procedures for Fair Stable Marriage Outcomes

  Nikolaos Tziavelis, Ioannis Giannakopoulos, Rune Quist Johansen, Katerina Doka, Nectarios Koziris, Panagiotis Karras

  7269-7276

  2020-04-03

• Generalized and Sub-Optimal Bipartite Constraints for Conflict-Based Search

  Thayne T. Walker, Nathan R. Sturtevant, Ariel Felner

  7277-7284

  2020-04-03

• Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games

  Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu

  7285-7292

  2020-04-03

• From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning

  Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao

  7293-7300

  2020-04-03

• SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning

  Chao Wen, Xinghu Yao, Yuhui Wang, Xiaoyang Tan

  7301-7308

  2020-04-03

• Optimal Common Contract with Heterogeneous Agents

  Shenke Xiao, Zihe Wang, Mengjing Chen, Pingzhong Tang, Xiwang Yang

  7309-7316

  2020-04-03

• COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment

  Leonit Zeynalvand, Tie Luo, Jie Zhang

  7317-7324

  2020-04-03

• Bi-Level Actor-Critic for Multi-Agent Coordination

  Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang

  7325-7332

  2020-04-03

• Beyond Trees: Analysis and Convergence of Belief Propagation in Graphs with Multiple Cycles

  Roie Zivan, Omer Lev, Rotem Galiki

  7333-7340

  2020-04-03

• Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting

  Ralph Abboud, Ismail Ceylan, Thomas Lukasiewicz

  3097-3104

  2020-04-03

• Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning

  Afshin Abdi, Faramarz Fekri

  3105-3112

  2020-04-03

• Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning

  Afshin Abdi, Faramarz Fekri

  3113-3120

  2020-04-03

• Image-Adaptive GAN Based Reconstruction

  Shady Abu Hussein, Tom Tirer, Raja Giryes

  3121-3129

  2020-04-03

• DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier

  Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan

  3130-3137

  2020-04-03

• Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems

  Abhijin Adiga, Chris Kuhlman, Madhav Marathe, S. Ravi, Daniel Rosenkranz, Richard Stearns, Anil Vullikanti

  3138-3145

  2020-04-03

• Learning Optimal Decision Trees Using Caching Branch-and-Bound Search

  Gaël Aglin, Siegfried Nijssen, Pierre Schaus

  3146-3153

  2020-04-03

• Detecting Semantic Anomalies

  Faruk Ahmed, Aaron Courville

  3154-3162

  2020-04-03

• Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm

  Yasunori Akagi, Takuya Nishimura, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda

  3163-3170

  2020-04-03

• Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise

  Albert Akhriev, Jakub Marecek, Andrea Simonetto

  3171-3178

  2020-04-03

• An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint

  Ehsan Amid, Manfred K. Warmuth

  3179-3186

  2020-04-03

• Kriging Convolutional Networks

  Gabriel Appleby, Linfeng Liu, Li-Ping Liu

  3187-3194

  2020-04-03

• Efficient Inference of Optimal Decision Trees

  Florent Avellaneda

  3195-3202

  2020-04-03

• Few Shot Network Compression via Cross Distillation

  Haoli Bai, Jiaxiang Wu, Irwin King, Michael Lyu

  3203-3210

  2020-04-03

• A Three-Level Optimization Model for Nonlinearly Separable Clustering

  Liang Bai, Jiye Liang

  3211-3218

  2020-04-03

• Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching

  Yunsheng Bai, Hao Ding, Ken Gu, Yizhou Sun, Wei Wang

  3219-3226

  2020-04-03