symposium
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization
Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu
Neural Information Processing Systems http://nips.cc/
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- Information Technology > Security & Privacy (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.94)
- Information Technology > Data Science > Data Mining (0.85)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.46)
- North America > United States > California (0.14)
- North America > United States > Florida > Leon County > Tallahassee (0.04)
- North America > United States > Florida > Hillsborough County > University (0.04)
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Weitzman's Rule for Pandora's Box with Correlations
We can only see the exact value realized in a box if we open it and pay the opening cost.
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- North America > United States > California > San Francisco County > San Francisco (0.14)
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- North America > Canada > Ontario > Toronto (0.14)
- North America > United States > District of Columbia > Washington (0.04)
- North America > Canada > Ontario > Hamilton (0.04)
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On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds
David P. Woodruff, CMU, dwoodruf@cs.cmu.edu "3026 Fred Zhang, UC Berkeley, z0@berkeley.edu "3026 Samson Zhou, Texas A&M University, samsonzhou@gmail.com
In this paper, we study robust algorithms for the experts problem under memory constraints.
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- North America > United States > Texas (0.04)
- North America > United States > Pennsylvania > Allegheny County > Pittsburgh (0.04)
- North America > United States > Maryland > Baltimore (0.14)
- North America > United States > California > San Francisco County > San Francisco (0.14)
- Asia > Afghanistan > Parwan Province > Charikar (0.04)
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- North America > United States > California > Alameda County > Berkeley (0.14)
- North America > United States > California > San Francisco County > San Francisco (0.14)
- North America > United States > Arizona > Maricopa County > Phoenix (0.04)
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ASPEN: Breaking Operator Barriers for Efficient Parallel Execution of Deep Neural Networks
ASPEN also achieves high resource utilization and memory reuse by letting each resource asynchronously traverse depthwise in the DNN graph to its full computing potential.
- Asia > South Korea > Seoul > Seoul (0.04)
- Europe > Italy > Calabria > Catanzaro Province > Catanzaro (0.04)
- North America > United States > Colorado > Boulder County > Boulder (0.04)
- Africa > Mali (0.04)
Simple, Scalable and Effective Clustering via One-Dimensional Projections
In large-scale applications, datasets often contain billions of high-dimensional points. Grouping similar data points into clusters is crucial for understanding and organizing datasets.
- Europe > Austria > Vienna (0.14)
- North America > United States > California > San Francisco County > San Francisco (0.14)
- Asia > Afghanistan > Parwan Province > Charikar (0.04)
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