闲情居|机器学习领域顶会ICML20精选论文分享( 九 )


Semismooth Newton Algorithm for Efficient Projections onto $\ell_{1, \infty}$-norm Ball Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao
Influenza Forecasting Framework based on Gaussian Processes Christoph Zimmer, Reza Yaesoubi
Unique Properties of Wide Minima in Deep Networks Rotem Mulayoff, Tomer Michaeli
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng
LTF: A Label Transformation Framework for Correcting Label Shift Jiaxian Guo, Mingming Gong, Tongliang Liu, Kun Zhang, Dacheng Tao
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support Yuan Zhou, Hongseok Yang, Yee Whye Teh, Tom Rainforth
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence d'Alche-Buc
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health Liangyu Zhu, Wenbin Lu, Rui Song
Towards Understanding the Dynamics of the First-Order Adversaries Zhun Deng, Hangfeng He, Jiaoyang Huang, Weijie Su
Interpreting Robust Optimization via Adversarial Influence Functions Zhun Deng, Cynthia Dwork, Jialiang Wang, Linjun Zhang
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations Markos Georgopoulos, Grigorios Chrysos, Yannis Panagakis, Maja Pantic
No-Regret Exploration in Goal-Oriented Reinforcement Learning Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric
OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning Alexander Vezhnevets, Yuhuai Wu, Maria Eckstein, Rémi Leblond, Joel Z Leibo
Feature Noise Induces Loss Discrepancy Across Groups Fereshte Khani, Percy Liang
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics Gregor Simm, Robert Pinsler, Jose Miguel Hernandez-Lobato
Small-GAN: Speeding up GAN Training using Core-Sets Samrath Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena
Conditional gradient methods for stochastically constrained convex minimization Maria-Luiza Vladarean, Ahmet Alacaoglu, Ya-Ping Hsieh, Volkan Cevher
Undirected Graphical Models as Approximate Posteriors Arash Vahdat, Evgeny Andriyash, William Macready
Dynamics of Deep Neural Networks and Neural Tangent Hierarchy Jiaoyang Huang, Horng-Tzer Yau
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics Debjani Saha, Candice Schumann, Duncan McElfresh, John Dickerson, Michelle Mazurek, Michael Tschantz
Encoding Musical Style with Transformer Autoencoders Kristy Choi, Curtis Hawthorne, Ian Simon, Monica Dinculescu, Jesse Engel
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly
ConQUR: Mitigating Delusional Bias in Deep Q-Learning DiJia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier


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