Dmitry Storcheus

According to our database1, Dmitry Storcheus authored at least 10 papers between 2015 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Theory and Algorithms for Several Central Problems in Large-Scale Machine Learning.
PhD thesis, 2021

Boosting with Multiple Sources.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Agnostic Learning with Multiple Objectives.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Regularized Gradient Boosting.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
The Sparse Recovery Autoencoder.
CoRR, 2018

Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2015
Foundations of Coupled Nonlinear Dimensionality Reduction.
CoRR, 2015

A Survey of Modern Questions and Challenges in Feature Extraction.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

Generalization Bounds for Supervised Dimensionality Reduction.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015


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