Papers
Weighted SGD for $\ell_p$ Regression with Randomized Preconditioning
Jiyan Yang, Yin-Lam Chow, Christopher Ré et al.
A Bayesian Framework for Learning Rule Sets for Interpretable Classification
Tong Wang, Cynthia Rudin, Finale Doshi-Velez et al.
A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations
Jean-Baptiste Schiratti, Stéphanie Allassonnière, Olivier Colliot et al.
Accelerating Stochastic Composition Optimization
Mengdi Wang, Ji Liu, Ethan X. Fang
Achieving Optimal Misclassification Proportion in Stochastic Block Models
Chao Gao, Zongming Ma, Anderson Y. Zhang et al.
Active-set Methods for Submodular Minimization Problems
K. S. Sesh Kumar, Francis Bach
Adaptive Randomized Dimension Reduction on Massive Data
Gregory Darnell, Stoyan Georgiev, Sayan Mukherjee et al.
A distributed block coordinate descent method for training l1 regularized linear classifiers
Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization
Shun Zheng, Jialei Wang, Fen Xia et al.
Analyzing Tensor Power Method Dynamics in Overcomplete Regime
Animashree Anandkumar, Rong Ge, Majid Janzamin
An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels
Weiwei Liu, Ivor W. Tsang, Klaus-Robert Müller
Angle-based Multicategory Distance-weighted SVM
Hui Sun, Bruce A. Craig, Lingsong Zhang
A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms
Huishuai Zhang, Yingbin Liang, Yuejie Chi
Approximation Vector Machines for Large-scale Online Learning
Trung Le, Tu Dinh Nguyen, Vu Nguyen et al.
A Robust-Equitable Measure for Feature Ranking and Selection
A. Adam Ding, Jennifer G. Dy, Yi Li et al.
A Spectral Algorithm for Inference in Hidden semi-Markov Models
Igor Melnyk, Arindam Banerjee
A survey of Algorithms and Analysis for Adaptive Online Learning
H. Brendan McMahan
A Survey of Preference-Based Reinforcement Learning Methods
Christian Wirth, Riad Akrour, Gerhard Neumann et al.
Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning
Jamshid Sourati, Murat Akcakaya, Todd K. Leen et al.
A Unified Formulation and Fast Accelerated Proximal Gradient Method for Classification
Naoki Ito, Akiko Takeda, Kim-Chuan Toh
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation
Thang D. Bui, Josiah Yan, Richard E. Turner
Automatic Differentiation Variational Inference
Alp Kucukelbir, Dustin Tran, Rajesh Ranganath et al.
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA
Lars Kotthoff, Chris Thornton, Holger H. Hoos et al.