Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Communication-Efficient Distributed Statistical Inference
Optimality guarantees for distributed statistical estimation
On Divergences and Informations in Statistics and Information Theory
Information Theory, Inference, and Learning Algorithms
Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication
Local Privacy and Statistical Minimax Rates
Optimal Inference in Crowdsourced Classification via Belief Propagation
AIDE: Fast and Communication Efficient Distributed Optimization
Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox
Distributed Learning over Unreliable Networks
Efficient Distributed Learning with Sparsity
A Storage-Computation-Communication Tradeoff for Distributed Computing
L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework
Estimating mutual information.
Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting
Distributed trajectory estimation with privacy and communication constraints: A two-stage distributed Gauss-Seidel approach
Differential privacy for statistics: What we know and what we want to learn
Communication-Efficient Algorithms for Decentralized and Stochastic Optimization
Estimation and Calibration Algorithms for Distributed Sampling Systems
Distributed inference for latent dirichlet allocation
Broadcast Communications and Distributed Algorithms
Combining Silhouettes, Surface, and Volume Rendering for Surgery Education and Planning
Gender Differences in Emotion Regulation: An fMRI Study of Cognitive Reappraisal.
Advances and current challenges in calcium signaling.
Latent Dirichlet Allocation
An Improved Genetic Algorithm for the Vehicle Routing Problem