闲情居|机器学习领域顶会ICML20精选论文分享( 十 )
Self-Modulating Nonparametric Event-Tensor Factorization Zheng Wang, Xinqi Chu, Shandian Zhe
Extreme Multi-label Classification from Aggregated Labels Yanyao Shen, Hsiang-Fu Yu, Sujay Sanghavi, Inderjit Dhillon
Full Law Identification In Graphical Models Of Missing Data: Completeness Results Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser
Self-Attentive Associative Memory Hung Le, Truyen Tran, Svetha Venkatesh
Imputer: Sequence Modelling via Imputation and Dynamic Programming William Chan, Chitwan Saharia, Geoffrey Hinton, Mohammad Norouzi, Navdeep Jaitly
Continuously Indexed Domain Adaptation Hao Wang, Hao He, Dina Katabi
Evolving Machine Learning Algorithms From Scratch Esteban Real, Chen Liang, David So, Quoc Le
Self-Attentive Hawkes Process Qiang Zhang, Aldo Lipani, Omer Kirnap, Emine Yilmaz
On hyperparameter tuning in general clustering problemsm Xinjie Fan, Yuguang Yue, Purnamrita Sarkar, Y. X. Rachel Wang
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang
Adaptive Region-Based Active Learning Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
Robust Outlier Arm Identification Yinglun Zhu, Sumeet Katariya, Robert Nowak
Provably Efficient Exploration in Policy Optimization Qi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang
Striving for simplicity and performance in off-policy DRL: Output Normalization and Non-Uniform Sampling Che Wang, Yanqiu Wu, Quan Vuong, Keith Ross
Multidimensional Shape Constraints Maya Gupta, Erez Louidor, Oleksandr Mangylov, Nobu Morioka, Tamann Narayan, Sen Zhao
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima
Operation-Aware Soft Channel Pruning using Differentiable Masks Minsoo Kang, Bohyung Han
Normalized Loss Functions for Deep Learning with Noisy Labels Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah Erfani, James Bailey
Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, D.J. Sutherlan
dDeBayes: a Bayesian method for debiasing network embeddings Maarten Buyl, Tijl De Bie
Principled learning method for Wasserstein distributionally robust optimization with local perturbations Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik
Low-Variance and Zero-Variance Baselines for Extensive-Form Games Trevor Davis, Martin Schmid, Michael Bowling
Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games Youzhi Zhang, Bo An
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks Alexander Shevchenko, Marco Mondelli
Leveraging Frequency Analysis for Deep Fake Image Recognition Joel Frank, Thorsten Eisenhofer, Lea Sch?nherr, Dorothea Kolossa, Thorsten Holz, Asja Fischer
Tails of Lipschitz Triangular Flows Priyank Jaini, Ivan Kobyzev, Yaoliang Yu, Marcus Brubaker
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