Machine Learning

Authors and titles for November 2019

[1] arXiv:1911.00002 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Continual Multi-task Gaussian Processes Show Chinese title

Title: 连续多任务高斯过程

Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[2] arXiv:1911.00068 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Confident Learning: Estimating Uncertainty in Dataset Labels Show Chinese title

Title: Confident Learning: 估计数据集标签中的不确定性

Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang

Comments: Published in Journal of Artificial Intelligence Research (JAIR)

Journal-ref: Journal of Artificial Intelligence Research (JAIR) (2021)

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[3] arXiv:1911.00184 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised) Show Chinese title

Title: 流数据的集成聚类与异常检测（INCAD）（修订版）

Sreelekha Guggilam, Syed M. A. Zaidi, Varun Chandola, Abani K. Patra

Comments: 13 pages; fixes typos in equations 5,6,9,10 on inference using Gibbs sampling

Journal-ref: ICCS 2019. Lecture Notes in Computer Science, vol 11539. Springer, Cham,

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[4] arXiv:1911.00190 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success Show Chinese title

Title: 随机化作为正则化：随机森林成功的自由度解释

Lucas Mentch, Siyu Zhou

Comments: To Appear in the Journal of Machine Learning Research (JMLR)

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[5] arXiv:1911.00218 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Statistical Model Aggregation via Parameter Matching Show Chinese title

Title: 统计模型聚合通过参数匹配

Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Trong Nghia Hoang

Comments: NeurIPS 2019

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[6] arXiv:1911.00294 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments Show Chinese title

Title: 一种统一的随机梯度方法用于设计贝叶斯最优实验

Adam Foster, Martin Jankowiak, Matthew O'Meara, Yee Whye Teh, Tom Rainforth

Comments: Published as a conference paper at AISTATS 2020

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Computation (stat.CO)

[7] arXiv:1911.00348 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Hierarchical Expert Networks for Meta-Learning Show Chinese title

Title: 元学习的分层专家网络

Heinke Hihn, Daniel A. Braun

Comments: Presented at the 4th ICML Workshop on Life Long Machine Learning, 2020

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[8] arXiv:1911.00658 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Global Adaptive Generative Adjustment Show Chinese title

Title: 全局自适应生成调整

Bin Wang, Xiaofei Wang, Jianhua Guo

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Signal Processing (eess.SP)

[9] arXiv:1911.00936 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms Show Chinese title

Title: 增强变分自编码器用于协同过滤：灵活先验与门控机制

Daeryong Kim, Bongwon Suh

Journal-ref: In Thirteenth ACM Conference on Recommender Systems (RecSys '19), September 16-20, 2019, Copenhagen, Denmark. ACM, New York, NY, USA, 5 pages

Subjects: Machine Learning (stat.ML) ; Information Retrieval (cs.IR) ; Machine Learning (cs.LG)

[10] arXiv:1911.01010 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Seasonally-Adjusted Auto-Regression of Vector Time Series Show Chinese title

Title: 季节性调整向量时间序列的自回归模型

Enzo Busseti

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Optimization and Control (math.OC)

[11] arXiv:1911.01288 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Asymptotic Consistency of Loss-Calibrated Variational Bayes Show Chinese title

Title: 损失校准变分贝叶斯的渐近一致性

Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[12] arXiv:1911.01366 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Framework for Inferring Following Strategies from Time Series of Movement Data Show Chinese title

Title: 从运动数据时间序列中推断跟随策略的框架

Chainarong Amornbunchornvej, Tanya Berger-Wolf

Comments: This is the revised version of the preprint entitled "Inferring Coordination Strategies from Time Series of Movement Data" following reviewers' suggestions

Journal-ref: ACM Transactions on Knowledge Discovery from Data (TKDD), 14(3), 35 (2020)

Subjects: Machine Learning (stat.ML) ; Artificial Intelligence (cs.AI) ; Machine Learning (cs.LG) ; Multiagent Systems (cs.MA) ; Data Analysis, Statistics and Probability (physics.data-an)

[13] arXiv:1911.01373 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Gradient-based Adaptive Markov Chain Monte Carlo Show Chinese title

Title: 基于梯度的自适应马尔可夫链蒙特卡罗

Michalis K. Titsias, Petros Dellaportas

Comments: 17 pages, 7 Figures, NeurIPS 2019

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Computation (stat.CO)

[14] arXiv:1911.01382 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Amortized Population Gibbs Samplers with Neural Sufficient Statistics Show Chinese title

Title: 带有神经充分统计量的渐进种群吉布斯采样器

Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[15] arXiv:1911.01425 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Improved BiGAN training with marginal likelihood equalization Show Chinese title

Title: 通过边缘似然均衡改进BiGAN训练

Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Perez-Cruz

Subjects: Machine Learning (stat.ML) ; Computer Vision and Pattern Recognition (cs.CV) ; Machine Learning (cs.LG)

[16] arXiv:1911.01429 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: The frontier of simulation-based inference Show Chinese title

Title: 基于仿真的推断的前沿

Kyle Cranmer, Johann Brehmer, Gilles Louppe

Comments: 10 pages, 3 figures, proceedings for the Sackler Colloquia at the US National Academy of Sciences. v2: fixed typos. v3: clarified text, added references

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Methodology (stat.ME)

[17] arXiv:1911.01469 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Proximal Langevin Algorithm: Rapid Convergence Under Isoperimetry Show Chinese title

Title: 近端Langevin算法：在等周性下的快速收敛

Andre Wibisono

Subjects: Machine Learning (stat.ML) ; Data Structures and Algorithms (cs.DS) ; Information Theory (cs.IT) ; Machine Learning (cs.LG)

[18] arXiv:1911.01483 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: On Constructing Confidence Region for Model Parameters in Stochastic Gradient Descent via Batch Means Show Chinese title

Title: 通过批次均值构建随机梯度下降模型参数的置信区域

Yi Zhu, Jing Dong

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Statistics Theory (math.ST)

[19] arXiv:1911.01535 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Scalable Deep Generative Relational Models with High-Order Node Dependence Show Chinese title

Title: 具有高阶节点依赖的可扩展深度生成关系模型

Xuhui Fan, Bin Li, Scott Anthony Sisson, Caoyuan Li, Ling Chen

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[20] arXiv:1911.01929 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models Show Chinese title

Title: GP-ALPS：多输出高斯过程模型的自动潜在过程选择

Pavel Berkovich, Eric Perim, Wessel Bruinsma

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Methodology (stat.ME)

[21] arXiv:1911.02088 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: An Alternative Probabilistic Interpretation of the Huber Loss Show Chinese title

Title: Huber损失的另一种概率解释

Gregory P. Meyer

Subjects: Machine Learning (stat.ML) ; Computer Vision and Pattern Recognition (cs.CV) ; Machine Learning (cs.LG)

[22] arXiv:1911.02106 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Designing over uncertain outcomes with stochastic sampling Bayesian optimization Show Chinese title

Title: 具有随机采样贝叶斯优化的不确定结果设计

Peter D. Tonner, Daniel V. Samarov, A. Gilad Kusne

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG)

[23] arXiv:1911.02151 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Show Chinese title

Title: 信息论的广义界限通过数据依赖估计用于SGLD

Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy

Comments: 23 pages, 1 figure. To appear in, Advances in Neural Information Processing Systems (33), 2019

Subjects: Machine Learning (stat.ML) ; Information Theory (cs.IT) ; Machine Learning (cs.LG)

[24] arXiv:1911.02175 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems Show Chinese title

Title: 将马尔可夫过程与结构因果建模相结合，可在复杂系统中进行反事实推断

Robert Osazuwa Ness, Kaushal Paneri, Olga Vitek

Comments: Accepted to Thirty-third Conference on Neural Information Processing Systems (2019)

Subjects: Machine Learning (stat.ML) ; Machine Learning (cs.LG) ; Molecular Networks (q-bio.MN) ; Applications (stat.AP)

[25] arXiv:1911.02656 (cross-list from stat.ML) [cn-pdf, pdf, other]

Title: Invariance and identifiability issues for word embeddings Show Chinese title

Title: 词嵌入的不变性和可识别性问题

Rachel Carrington, Karthik Bharath, Simon Preston

Comments: NIPS 2019

Subjects: Machine Learning (stat.ML) ; Computation and Language (cs.CL) ; Machine Learning (cs.LG) ; Computation (stat.CO)