Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Optimality guarantees for distributed statistical estimation
Communication-efficient algorithms for statistical optimization
Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
An augmented Lagrangian method for distributed optimization
Estimation and Calibration Algorithms for Distributed Sampling Systems
Empirical Bernstein Bounds and Sample Variance Penalization
Mutual Information Optimally Local Private Discrete Distribution Estimation
Robust Distributed Linear Programming
A control perspective for centralized and distributed convex optimization
Control approach to distributed optimization
Privacy With Estimation Guarantees
A Practically Efficient Approach for Solving Adaptive Distributionally Robust Linear Optimization Problems
The Nature of Statistical Learning Theory
Statistical guarantees for the EM algorithm: From population to sample-based analysis
Broadcast-based distributed alternating direction method of multipliers
AIDE: Fast and Communication Efficient Distributed Optimization
Agnostic Estimation of Mean and Covariance
L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework
A General Projection Property for Distribution Families
Communication-Efficient Algorithms for Decentralized and Stochastic Optimization
Keypoint trajectory estimation using propagation based tracking
Distributed Subgradient Methods for Multi-Agent Optimization
TB infection prevention and control experiences of South African nurses - a phenomenological study
DTI Tractography of the Human Brain's Language Pathways
Lengthening strategies for Peyronie’s disease