Systems

Distributed Submodular Maximization: Identifying Representative Elements in Massive Data NeurIPS 2013 Information Consensus for Distributed Multi-target Tracking CVPR 2013 More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server NeurIPS 2013 Optimistic Concurrency Control for Distributed Unsupervised Learning NeurIPS 2013 Robust Regression on MapReduce ICML 2013 Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NeurIPS 2012 Distributed Non-Stochastic Experts NeurIPS 2012 Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA NeurIPS 2012 Divide-and-Conquer Matrix Factorization NeurIPS 2011 Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent NeurIPS 2011 A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration NeurIPS 2010 A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model NeurIPS 2010 Distributed Dual Averaging In Networks NeurIPS 2010 Inference and Learning in Networks of Queues AISTATS 2010 A Massively Parallel Digital Learning Processor NeurIPS 2008 Target Enumeration via Integration over Planar Sensor Networks RSS 2008 A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NeurIPS 2007 An experimental study of exploiting multipath fading for robot communications RSS 2007 An in-silico Neural Model of Dynamic Routing through Neuronal Coherence NeurIPS 2007 Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NeurIPS 2007 Parallelizing Support Vector Machines on Distributed Computers NeurIPS 2007 A selective attention multi--chip system with dynamic synapses and spiking neurons NeurIPS 2006 Distributed Inference in Dynamical Systems NeurIPS 2006 In-Network PCA and Anomaly Detection NeurIPS 2006 Map-Reduce for Machine Learning on Multicore NeurIPS 2006