Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
a unified framework for high - dimensional analysis of $ m $ - estimators with decomposable regularizers .
Parallel Coordinate Descent for L1-Regularized Loss Minimization
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization
A control perspective for centralized and distributed convex optimization
DASSO: Connections between the dantzig selector and lasso
Bivariate shrinkage with local variance estimation
Distributed Optimization of Convex Sum of Non-Convex Functions
Augmented Lagrangian and Alternating Direction Methods for Convex Optimization : A Tutorial and Some Illustrative Computational Results
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral-Regularization Algorithms.
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Scalable Stochastic Alternating Direction Method of Multipliers
Gradient Descent Efficiently Finds the Cubic-Regularized Non-Convex Newton Step
Mixture models, robustness, and sum of squares proofs
Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints
A stochastic coordinate descent primal-dual algorithm and applications
Stochastic Convex Optimization with Multiple Objectives
Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems
Stochastic Variance Reduction for Nonconvex Optimization
Stochastic Optimization with Importance Sampling for Regularized Loss Minimization
Periocular fillers and related anatomy.
Analogical Reasoning and Conceptual Change: A Case Study of Johannes Kepler
algorithms for simultaneous sparse approximation . part i : greedy pursuit .
off - line signature verification using g - surf .
Too much automation? the bellwether effect and its implications for transfer learning