Papers
Data Amplification: Instance-Optimal Property Estimation
Yi Hao, Alon Orlitsky
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models
Amrita Roy Chowdhury, Theodoros Rekatsinas, Somesh Jha
Data preprocessing to mitigate bias: A maximum entropy based approach
L. Elisa Celis, Vijay Keswani, Nisheeth Vishnoi
Data Valuation using Reinforcement Learning
Jinsung Yoon, Sercan Arik, Tomas Pfister
DeBayes: a Bayesian Method for Debiasing Network Embeddings
Maarten Buyl, Tijl De Bie
Debiased Sinkhorn barycenters
Hicham Janati, Marco Cuturi, Alexandre Gramfort
Decentralised Learning with Random Features and Distributed Gradient Descent
Dominic Richards, Patrick Rebeschini, Lorenzo Rosasco
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions
Michael Chang, Sid Kaushik, S. Matthew Weinberg et al.
Decision Trees for Decision-Making under the Predict-then-Optimize Framework
Adam N. Elmachtoub, Jason Cheuk Nam Liang, Ryan Mcnellis
Decoupled Greedy Learning of CNNs
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
DeepCoDA: personalized interpretability for compositional health data
Thomas Quinn, Dang Nguyen, Santu Rana et al.
Deep Coordination Graphs
Wendelin Boehmer, Vitaly Kurin, Shimon Whiteson
Deep Divergence Learning
Hatice Kubra Cilingir, Rachel Manzelli, Brian Kulis
Deep Gaussian Markov Random Fields
Per Sidén, Fredrik Lindsten
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition
Hengguan Huang, Fuzhao Xue, Hao Wang et al.
Deep Isometric Learning for Visual Recognition
Haozhi Qi, Chong You, Xiaolong Wang et al.
Deep k-NN for Noisy Labels
Dara Bahri, Heinrich Jiang, Maya Gupta
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks
Marko Vasic, Cameron Chalk, Sarfraz Khurshid et al.
Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions
Sinong Geng, Houssam Nassif, Carlos Manzanares et al.
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning
Di Chen, Yiwei Bai, Wenting Zhao et al.
Deep Reinforcement Learning with Robust and Smooth Policy
Qianli Shen, Yan Li, Haoming Jiang et al.
Deep Streaming Label Learning
Zhen Wang, Liu Liu, Dacheng Tao
Defense Through Diverse Directions
Christopher Bender, Yang Li, Yifeng Shi et al.