Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: fixed - point algorithms for learning determinantal point processes .
Learning Determinantal Point Processes
Projected Subgradient Methods for Learning Sparse Gaussians
A spectral algorithm for learning mixture models
Robust and Proper Learning for Mixtures of Gaussians via Systems of Polynomial Inequalities
Stochastic Learning on Imbalanced Data: Determinantal Point Processes for Mini-batch Diversification.
Optimization, Learning and Natural Algorithms
A stochastic coordinate descent primal-dual algorithm and applications
fast and robust fixed - point algorithms .
A Framework for the Cooperation of Learning Algorithms
Basis Learning as an Algorithmic Primitive
Fast and robust fixed-point algorithms for independent component analysis
An empirical study of algorithms for point-feature label placement
Coordinate Descent with Arbitrary Sampling I: Algorithms and Complexity
Deterministic Policy Gradient Algorithms
An interior-point stochastic approximation method and an L1-regularized delta rule
Online pairwise learning algorithms with convex loss functions
Bayesian Learning via Stochastic Gradient Langevin Dynamics
A Spectral Algorithm for Learning Hidden Markov Models
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems
Distributed Coordinate Descent Method for Learning with Big Data
A computational approach to politeness with application to social factors
Speech Emotion Classification Using Machine Learning Algorithms
Unsupervised Feature Selection with Heterogeneous Side Information
Reduced duty-cycle loss and output inductor current ripple in a ZVS switched three-phase isolated PWM rectifier
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization