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Algorithms

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A Closed-loop Adaptive Brain-computer Interface Framework

October 23, 2020 | Kuan-Jung Chiang

A brain-computer interface is a type of interface that translates users brain activities into commands for computers or machines. Among different brain activities, electroencephalography (EEG, i.e., the electrical waves of human brains) is the most…

Publication

Gradient Flows in Dataset Space

David Alvarez-Melis, Nicolo Fusi

October 2020

Publication

Posterior Differential Regularization with f-divergence for Improving Model Robustness

Hao Cheng, Xiaodong Liu, Lis Pereira, Yaoliang Yu, Jianfeng Gao

October 2020

Publication

Sequence-level self-learning with multi-task learning framework

Kenichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng

October 2020

Publication

DA-Transformer: Distance-aware Transformer

Chuhan Wu, Fangzhao Wu, Yongfeng Huang

October 2020

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FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs

Alekh Agarwal, Sham Kakade, Akshay Krishnamurthy, Wen Sun

NeurIPS 2020 | October 2020

Publication

Efficient Customer Issue Triage via Linking with System Incidents

Jiazhen Gu, …, Qingwei Lin 林庆维, …

ESEC/FSE 2020 Industry | October 2020

Publication

Fully Dynamic Algorithm for Constrained Submodular Optimization

Silvio Lattanzi, Slobodan Mitrović, Ashkan Norouzi-Fard, Jakub Tarnawski, Morteza Zadimoghaddam

NeurIPS 2020 | October 2020

Publication

Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient Sampling

Aadirupa Saha

2020 Asian Conference on Machine Learning | September 2020

Publication

Near-Optimal Bayesian Online Assortment of Reusable Resources

Yiding Feng, Rad Niazadeh, Amin Saberi

September 2020