闲情居|机器学习领域顶会ICML20精选论文分享(14)
Learning with Multiple Complementary Labels LEI FENG, Takuo Kaneko, Bo Han, Gang Niu, Bo An, Masashi Sugiyama
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani, Amir Hosein Khasahmadi
A Chance-Constrained Generative Framework for Sequence Optimization Xianggen Liu, Jian Peng, Qiang Liu, Sen Song
dS^2LBI: Exploring Structural Sparsity on Deep Network via Differential Inclusion Paths Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan ZENG, Yuan Yao
Sparse Subspace Clustering with Entropy-Norm Liang Bai, Jiye Liang
On the Generalization Effects of Linear Transformations in Data Augmentation Sen Wu, Hongyang Zhang, Gregory Valiant, Christopher Re
Sparse Shrunk Additive Models Hong Chen, guodong liu, Heng Huang
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space Andrey Voynov, Artem Babenko
DropNet: Reducing Neural Network Complexity via Iterative Pruning Chong Min John Tan, Mehul Motani
Self-supervised Label Augmentation via Input Transformations Hankook Lee, Sung Ju Hwang, Jinwoo Shin
Mapping natural-language problems to formal-language solutions using structured neural representations Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Ken Forbus, Jianfeng Gao
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time Zahra Monfared, Daniel Durstewitz
Implicit Geometric Regularization for Learning Shapes Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman
Influence Diagram Bandits Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel
Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains Johannes Fischer, ?mer Sahin Tas
Convergence Rates of Variational Inference in Sparse Deep Learning Badr-Eddine Chérief-Abdellatif
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang
DINO: Distributed Newton-Type Optimization Method Rixon Crane, Fred Roosta
Quantum Expectation-Maximization for Gaussian Mixture Models Alessandro Luongo, Iordanis Kerenidis, Anupam Prakash
Consistent Structured Prediction with Max-Min Margin Markov Networks Alex Nowak, Francis Bach, Alessandro Rudi
Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions Prashanth L.A., Krishna Jagannathan, Ravi Kolla
Robust Pricing in Dynamic Mechanism Design Yuan Deng, Sébastien Lahaie, Vahab Mirrokni
Nested Subspace Arrangement for Representation of Relational Data Nozomi Hata, Shizuo Kaji, Akihiro Yoshida, Katsuki Fujisawa
Equivariant Neural Rendering Emilien Dupont, Miguel Bautista Martin, Alex Colburn, Aditya Sankar, Joshua Susskind, Qi Shan
Bounding the fairness and accuracy of classifiers from population statistics Sivan Sabato, Elad Yom-Tov
Healing Gaussian Process Experts samuel cohen, Rendani Mbuvha, Tshilidzi Marwala, Marc Deisenroth
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles Dylan Foster, Alexander Rakhlin
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