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• A General Approach to Fairness with Optimal Transport

  Chiappa Silvia, Jiang Ray, Stepleton Tom, Pacchiano Aldo, Jiang Heinrich, Aslanides John

  3633-3640

  2020-04-03

• Active Learning in the Geometric Block Model

  Eli Chien, Antonia Tulino, Jaime Llorca

  3641-3648

  2020-04-03

• Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare

  Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang

  3649-3657

  2020-04-03

• A Constraint-Based Approach to Learning and Explanation

  Gabriele Ciravegna, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori

  3658-3665

  2020-04-03

• Representing Closed Transformation Paths in Encoded Network Latent Space

  Marissa Connor, Christopher Rozell

  3666-3675

  2020-04-03

• Forgetting to Learn Logic Programs

  Andrew Cropper

  3676-3683

  2020-04-03

• Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking

  Eric Crawford, Joelle Pineau

  3684-3692

  2020-04-03

• Label Error Correction and Generation through Label Relationships

  Zijun Cui, Yong Zhang, Qiang Ji

  3693-3700

  2020-04-03

• A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound

  Gal Dalal, Balazs Szorenyi, Gugan Thoppe

  3701-3708

  2020-04-03

• Explainable Data Decompositions

  Sebastian Dalleiger, Jilles Vreeken

  3709-3716

  2020-04-03

• A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario

  Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew Soon Ong

  3717-3724

  2020-04-03

• DNNs as Layers of Cooperating Classifiers

  Marelie Davel, Marthinus Theunissen, Arnold Pretorius, Etienne Barnard

  3725-3732

  2020-04-03

• Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights

  Ian Davidson, S.S Ravi

  3733-3740

  2020-04-03

• Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning

  Kristopher De Asis, Alan Chan, Silviu Pitis, Richard Sutton, Daniel Graves

  3741-3748

  2020-04-03

• Capsule Routing via Variational Bayes

  Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos Kollias

  3749-3756

  2020-04-03

• System Identification with Time-Aware Neural Sequence Models

  Thomas Demeester

  3757-3764

  2020-04-03

• Reinforcing Neural Network Stability with Attractor Dynamics

  Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan

  3765-3772

  2020-04-03

• Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework

  Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Alan Fern

  3773-3780

  2020-04-03

• Integrating Overlapping Datasets Using Bivariate Causal Discovery

  Anish Dhir, Ciaran M. Lee

  3781-3790

  2020-04-03

• Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning

  Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He

  3791-3800

  2020-04-03

• Gradient-Aware Model-Based Policy Search

  Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli

  3801-3808

  2020-04-03

• Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data

  Xin Du, Yulong Pei, Wouter Duivesteijn, Mykola Pechenizkiy

  3809-3816

  2020-04-03

• On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning

  Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis

  3817-3824

  2020-04-03

• An Information-Theoretic Quantification of Discrimination with Exempt Features

  Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover

  3825-3833

  2020-04-03

• Unsupervised Metric Learning with Synthetic Examples

  Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar

  3834-3841

  2020-04-03