Guillaume Papa

According to our database1, Guillaume Papa authored at least 6 papers between 2015 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Trade-Offs in Large-Scale Distributed Tuplewise Estimation And Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2016
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Scalability of Stochastic Gradient Descent based on "Smart" Sampling Techniques.
Proceedings of the INNS Conference on Big Data 2015, 2015

Adaptive Sampling for Incremental Optimization Using Stochastic Gradient Descent.
Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015


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