Publication A Reduction from Reinforcement Learning to No-Regret Online Learning Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoff Gordon International Conference on Artificial Intelligence and Statistics | June 2020
Publication HNHN: Hypergraph Networks With Hyperedge Neurons Yihe Dong, Will Sawin, Yoshua Bengio Graph Representation Learning and Beyond Workshop at ICML 2020 | June 2020 Code available: https://github.com/twistedcubic/HNHN.
Publication Learned Video Compression with Feature-level Residuals Runsen Feng, Yaojun Wu, Zongyu Guo, Zhizheng Zhang, Zhibo Chen IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW 2020) | June 2020
Publication 3-D Context Entropy Model for Improved Practical Image Compression Zongyu Guo, Yaojun Wu, Runsen Feng, Zhizheng Zhang, Zhibo Chen IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW 2020) | June 2020
Publication Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting Keyi Chen, John Langford, Francesca Orabona June 2020 arXiv.org | June 2020
Publication Privacy Dependencies Solon Barocas, Karen Levy Washington Law Review | June 2020, Vol 95(2): pp. 555-615
Publication Efficient Approximation Algorithms for Adaptive Influence Maximization Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim The VLDB Journal | June 2020
Publication Efficiently Learning Structured Distributions from Untrusted Batches Sitan Chen, Jerry Li, Ankur Moitra STOC 2020 | June 2020
Publication BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design Roman Garnett, Henry Chai, Javier González, Shali Jiang International Conference on Machine Learning (ICML 2020) | June 2020
Publication Approximate Query Service on Autonomous IoT Cameras Mengwei Xu, Xiwen Zhang, Yunxin Liu, Gang Huang, Xuanzhe Liu, Felix Xiaozhu Lin MobiSys 2020 | June 2020