Papers
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning
Jicong Fan, Yuqian Zhang, Madeleine Udell
Unsupervised Metric Learning with Synthetic Examples
Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar
An Information-Theoretic Quantification of Discrimination with Exempt Features
Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel et al.
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 et al.
Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data
Xin Du, Yulong Pei, Wouter Duivesteijn et al.
Gradient-Aware Model-Based Policy Search
Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni et al.
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning
Daizong Ding, Mi Zhang, Xudong Pan et al.
Integrating Overlapping Datasets Using Bivariate Causal Discovery
Anish Dhir, Ciaran M. Lee
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa et al.
Reinforcing Neural Network Stability with Attractor Dynamics
Hanming Deng, Yang Hua, Tao Song et al.
System Identification with Time-Aware Neural Sequence Models
Thomas Demeester
Capsule Routing via Variational Bayes
Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos Kollias
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
Kristopher De Asis, Alan Chan, Silviu Pitis et al.
Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights
Ian Davidson, S.S Ravi
DNNs as Layers of Cooperating Classifiers
Marelie Davel, Marthinus Theunissen, Arnold Pretorius et al.
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario
Monidipa Das, Mahardhika Pratama, Jie Zhang et al.
Explainable Data Decompositions
Sebastian Dalleiger, Jilles Vreeken
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound
Gal Dalal, Balazs Szorenyi, Gugan Thoppe
Label Error Correction and Generation through Label Relationships
Zijun Cui, Yong Zhang, Qiang Ji
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
Eric Crawford, Joelle Pineau
Forgetting to Learn Logic Programs
Andrew Cropper
Representing Closed Transformation Paths in Encoded Network Latent Space
Marissa Connor, Christopher Rozell
A Constraint-Based Approach to Learning and Explanation
Gabriele Ciravegna, Francesco Giannini, Stefano Melacci et al.
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare
Ingyo Chung, Saehoon Kim, Juho Lee et al.
Active Learning in the Geometric Block Model
Eli Chien, Antonia Tulino, Jaime Llorca