Papers
Learning Data-adaptive Non-parametric Kernels
Fanghui Liu, Xiaolin Huang, Chen Gong et al.
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables
Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash et al.
Learning Mixed Latent Tree Models
Can Zhou, Xiaofei Wang, Jianhua Guo
Learning Sums of Independent Random Variables with Sparse Collective Support
Anindya De, Philip M. Long, Rocco A. Servedio
Learning with Fenchel-Young losses
Mathieu Blondel, André F.T. Martins, Vlad Niculae
Local Causal Network Learning for Finding Pairs of Total and Direct Effects
Yue Liu, Zhuangyan Fang, Yangbo He et al.
Loss Control with Rank-one Covariance Estimate for Short-term Portfolio Optimization
Zhao-Rong Lai, Liming Tan, Xiaotian Wu et al.
Lower Bounds for Learning Distributions under Communication Constraints via Fisher Information
Leighton Pate Barnes, Yanjun Han, Ayfer Ozgur
Lower Bounds for Parallel and Randomized Convex Optimization
Jelena Diakonikolas, Cristóbal Guzmán
Lower Bounds for Testing Graphical Models: Colorings and Antiferromagnetic Ising Models
Ivona Bezáková, Antonio Blanca, Zongchen Chen et al.
Memoryless Sequences for General Losses
Rafael Frongillo, Andrew Nobel
metric-learn: Metric Learning Algorithms in Python
William de Vazelhes, CJ Carey, Yuan Tang et al.
MFE: Towards reproducible meta-feature extraction
Edesio Alcobaça, Felipe Siqueira, Adriano Rivolli et al.
Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection
Joonas Hämäläinen, Alisson S. C. Alencar, Tommi Kärkkäinen et al.
Minimax Nonparametric Parallelism Test
Xin Xing, Meimei Liu, Ping Ma et al.
Mining Topological Structure in Graphs through Forest Representations
Robin Vandaele, Yvan Saeys, Tijl De Bie
Model-Preserving Sensitivity Analysis for Families of Gaussian Distributions
Christiane Görgen, Manuele Leonelli
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid, Mikayel Samvelyan, Christian Schroeder de Witt et al.
Monte Carlo Gradient Estimation in Machine Learning
Shakir Mohamed, Mihaela Rosca, Michael Figurnov et al.
Multiclass Anomaly Detector: the CS++ Support Vector Machine
Alistair Shilton, Sutharshan Rajasegarar, Marimuthu Palaniswami
Multiparameter Persistence Landscapes
Oliver Vipond
Multi-Player Bandits: The Adversarial Case
Pragnya Alatur, Kfir Y. Levy, Andreas Krause
Near-optimal Individualized Treatment Recommendations
Haomiao Meng, Ying-Qi Zhao, Haoda Fu et al.
Nesterov's Acceleration for Approximate Newton
Haishan Ye, Luo Luo, Zhihua Zhang