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闲情居|机器学习领域顶会ICML20精选论文分享( 三 )


Performative Prediction Juan Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, University of California Moritz Hardt
On Layer Normalization in the Transformer Architecture Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu
The many Shapley values for model explanation Mukund Sundararajan, Amir Najmi
Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming Daoli Zhu, Lei Zhao
New Oracle-Efficient Algorithms for Private Synthetic Data Release Giuseppe Vietri, Steven Wu, Mark Bun, Thomas Steinke, Grace Tian
Oracle Efficient Private Non-Convex Optimization Seth Neel, Aaron Roth, Giuseppe Vietri, Steven Wu
Universal Asymptotic Optimality of Polyak Momentum Damien Scieur, Fabian Pedregosa
Adversarial Robustness via Runtime Masking and Cleansing Yi-Hsuan Wu, Chia-Hung Yuan, Shan-Hung (Brandon) Wu
Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability Mingjie Li, Lingshen He, Zhouchen Lin
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting Zixin Zhong, Wang Chi Cheung, Vincent Tan
Robustness to Programmable String Transformations via Augmented Abstract Training Yuhao Zhang, Aws Albarghouthi, Loris D'Antoni
The Complexity of Finding Stationary Points with Stochastic Gradient Descent Yoel Drori, Ohad Shamir
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors Zhaoqiang Liu, Selwyn Gomes, Avtansh Tiwari, Jonathan Scarlett
Class-Weighted Classification: Trade-offs and Robust Approaches Ziyu Xu, Chen Dan, Justin Khim, Pradeep Ravikumar
Neural Architecture Search in a Proxy Validation Loss Landscape Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu
Almost Tune-Free Variance Reduction Bingcong Li, Lingda Wang, Georgios B. Giannakis
Uniform Convergence of Rank-weighted Learning Liu Leqi, Justin Khim, Adarsh Prasad, Pradeep Ravikumar
Non-autoregressive Translation with Disentangled Context Transformer Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu
More Information Supervised Probabilistic Deep Face Embedding Learning Ying Huang, Shangfeng Qiu, Wenwei Zhang, Xianghui Luo, Jinzhuo Wang
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards Aadirupa Saha, Pierre Gaillard, Michal Valko
From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model Aadirupa Saha, Aditya Gopalan
Reliable Fidelity and Diversity Metrics for Generative Models Muhammad Ferjad Naeem, Seong Joon Oh, Yunjey Choi, Youngjung Uh, Jaejun Yoo
Learning Factorized Weight Matrix for Joint Image Filtering Xiangyu Xu, Yongrui Ma, Wenxiu Sun
Likelihood-free MCMC with Amortized Approximate Ratio Estimators Joeri Hermans, Volodimir Begy, Gilles Louppe


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