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Pose Neural Fabrics Search
Neural Architecture Search (NAS) technologies have been successfully per...
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On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization
Recent developments on large-scale distributed machine learning applicat...
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Conservative Exploration for Semi-Bandits with Linear Generalization: A Product Selection Problem for Urban Warehouses
The recent rising popularity of ultra-fast delivery services on retail p...
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CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries
Speed and cost of logistics are two major concerns to on-line shoppers, ...
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Parallel Restarted SGD for Non-Convex Optimization with Faster Convergence and Less Communication
For large scale non-convex stochastic optimization, parallel mini-batch ...
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Learning with Non-Convex Truncated Losses by SGD
Learning with a convex loss function has been a dominating paradigm for...
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Better Algorithms for Hybrid Circuit and Packet Switching in Data Centers
Hybrid circuit and packet switching for data center networking (DCN) has...
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SERENADE: A Parallel Randomized Algorithm Suite for Crossbar Scheduling in Input-Queued Switches
Most of today's high-speed switches and routers adopt an input-queued cr...
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Process-oriented Iterative Multiple Alignment for Medical Process Mining
Adapted from biological sequence alignment, trace alignment is a process...
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Evaluation of Trace Alignment Quality and its Application in Medical Process Mining
Trace alignment algorithms have been used in process mining for discover...
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Fused Multiple Graphical Lasso
In this paper, we consider the problem of estimating multiple graphical ...
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