About
I am a third-year Ph.D. student in the Statistics, Probability and Machine Learning Group at Universitat Pompeu Fabra, advised by David Rossell and Gábor Lugosi.
My research interests lie in statistical learning and machine learning theory, especially high-dimensional inference. I currently work on problems related to variable selection, sparse estimation, overparameterized models, and optimization in statistical learning. I am broadly interested in questions at the interface of methodology, theory, and computation.
You can reach me at maxim.fedotov@upf.edu.
Projects
- Projected Information Criteria (joint with Gábor Lugosi and David Rossell; work in progress)
Presentations
Selected talks and poster presentations.
Contributed talks
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Projected Information Criteria for Variable Selection
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Projected Information Criteria for Variable Selection
Campus talks
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Projected L0 Criteria for Variable Selection in Regression Models
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Classical Analysis of Optimization Algorithms for Smooth Non-linear Problems
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Sequential Monte Carlo for Approximate Variable Selection in Generalized Linear Models
Posters
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Projected and Updated L0 Criteria for Variable Selection in High-Dim. & Large-Sample Regression Models
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Projected-L0 Decoder for Variable Selection in Linear Regression
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Projected and One-Step L0 Criteria for Variable Selection
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Projected and One-Step L0 Criteria for Variable Selection
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Sequential Monte Carlo for Approximate Variable Selection in Generalized Linear Models