闲情居|机器学习领域顶会ICML20精选论文分享( 七 )
Training Linear Neural Networks: Non-Local Convergence and Complexity Results Armin Eftekhari
On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies Hengrui Cai, Wenbin Lu, Rui Song
Graph Optimal Transport for Cross-Domain Alignment Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu
Approximation Capabilities of Neural ODEs and Invertible Residual Networks Han Zhang, Xi Gao, Jacob Unterman, Tomasz Arodz
Refined bounds for algorithm configuration: The knife-edge of dual class approximability Nina Balcan, Tuomas Sandholm, Ellen Vitercik
Teaching with Limited Information on the Learner's Behaviour Ferdinando Cicalese, Francisco Sergio de Freitas Filho, Eduardo Laber, Marco Molinaro
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge Laura Rieger, Chandan Singh, William Murdoch, Bin Yu
DeltaGrad: Rapid retraining of machine learning models Yinjun Wu, Edgar Dobriban, Susan Davidson
The Cost-free Nature of Optimally Tuning Tikhonov Regularizers and Other Ordered Smoothers Pierre Bellec, Dana Yang
Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions Kaito Fujii
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent Yunwen Lei, Yiming Ying
Online Dense Subgraph Discovery via Blurred-Graph Feedback Yuko Kuroki, Atsushi Miyauchi, Junya Honda, Masashi Sugiyama
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments Ali AhmadiTeshnizi, Saber Salehkaleybar, Negar Kiyavash
Perceptual Generative Autoencoders Zijun Zhang, Ruixiang ZHANG, Zongpeng Li, Yoshua Bengio, Liam Paull
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks Yuxin Wen, Shuai Li, Kui Jia
Stochastic Gradient and Langevin Processes Xiang Cheng, Dong Yin, Peter Bartlett, Michael Jordan
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles Tonghan Wang, Heng Dong, Victor Lesser, Chongjie Zhang
Minimax Pareto Fairness: A Multi Objective Perspective Martin Bertran, Natalia Martinez, Guillermo Sapiro
Online Pricing with Offline Data: Phase Transition and Inverse Square Law Jinzhi Bu, David Simchi-Levi, Yunzong Xu
Explicit Gradient Learning for Black-Box Optimization Elad Sarafian, Mor Sinay, yoram louzoun, Noa Agmon, Sarit Kraus
Optimization and Analysis of the pAp@k Metric for Recommender Systems Gaurush Hiranandani, Warut Vijitbenjaronk, Sanmi Koyejo, Prateek Jain
When Explanations Lie: Why Many Modified BP Attributions Fail Leon Sixt, Maximilian Granz, Tim Landgraf
Naive Exploration is Optimal for Online LQR Max Simchowitz, Dylan Foster
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective Ruixiang ZHANG, Katsuhiko Ishiguro, Masanori Koyama
Implicit Generative Modeling for Efficient Exploration Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu
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