Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Coordinate Descent with Arbitrary Sampling I: Algorithms and Complexity
Distributed Coordinate Descent Method for Learning with Big Data
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning
Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems
Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms
Accelerated sampling for the Indian Buffet Process
Proximal Algorithms in Statistics and Machine Learning
Geometric descent method for convex composite minimization
DLM: Decentralized Linearized Alternating Direction Method of Multipliers
Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints
Adaptive Sampling and Fast Low-Rank Matrix Approximation
Adaptive subgradient methods for online learning and stochastic optimization
Stochastic Optimization with Bandit Sampling
A generalized normalized gradient descent algorithm
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss
Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization
Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property
Fast Stochastic Algorithms for SVD and PCA: Convergence Properties and Convexity
Fast alternating direction optimization methods
Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains
Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization
Mini-Batch Primal and Dual Methods for SVMs
Transfer learning via inter-task mappings for temporal difference learning
Detection of road surface damage using mobile robot equipped with 2D laser scanner
Analysis and Investigation of Noise Figure of Fiber Raman Amplifier
Visual Semantic Landmark-Based Robust Mapping and Localization for Autonomous Indoor Parking