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Filtering by: Committee Member Sculley, D. Remove constraint Committee Member: Sculley, D. GW Unit Computer Science Remove constraint GW Unit: Computer Science Keyword machine learning Remove constraint Keyword: machine learning Keyword theory Remove constraint Keyword: theory

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Transforming machine learning heuristics into provable algorithms: classical, stochastic, and neural

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Type of Work

Thesis or Dissertation1

Author

Tang, Cheng1

GW Unit

Computer Science[remove]1

Degree

Ph.D.1

Advisor

Monteleoni, Claire1

Committee Member

Diab, Mona1
Ge, Rong1
Pless, Robert1
Sculley, D.[remove]1

Keyword

machine learning[remove]1
theory[remove]1

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