Mingchen Ma (马铭辰)

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PhD Student,
Department of Computer Sciences,
UW-Madison.
1210 W Dayton St, Madison, WI
E-mail: myfirstname AT cs Dot wisc Dot edu

About me

I am a PhD student at the Department of Computer Sciences, UW-Madison since 2021. I am very fortunate to be advised by Prof. Christos Tzamos and Prof. Ilias Diakonikolas. I obtained my B.S. in Mathematics in 2020 from the Department of Mathematics at Nanjing University. Before officially starting my Ph.D. study, I spent a year as a visiting student at ITCS, Shanghai University of Finance and Economics.

Research

My research interest lies in the union of theoretical machine learning, theoretical computer science, and optimization. My recent works focus on the adaptivity and robustness of learning problems.

Publications and Preprints
(Author orders for all papers are alphabetical)

  1. Active Learning with Simple Questions
    with V.Kontonis, C. Tzamos
    Under Review

  2. Fast Co-Training under Weak Dependence via Stream-Based Active Learning
    with I.Diakonikolas, L. Ren, C.Tzamos
    Under Review

  3. The Gain from Ordering in Online Learning [ conference version]
    with V.Kontonis, C. Tzamos
    Advances in Neural Information Processing Systems (NeurIPS 2023)

  4. Buying Information for Stochastic Optimization [conference version]
    with C. Tzamos
    Proceedings of the 40th International Conference on Machine Learning (ICML 2023)
    (Selected for Oral Presentation)

  5. Clustering with Queries under Semi-Random Noise [conference version]
    with A. Del Pia, C. Tzamos
    Proceedings of the 35th Annual Conference on Learning Theory (COLT 2022)

  6. k-median: exact recovery in the extended stochastic ball model [journal version]
    with A. Del Pia
    Mathematical Programming, Series A 2022

  7. Proximity in concave integer quadratic programming [journal version]
    with A. Del Pia
    Mathematical Programming, Series A 2021

Teaching

Teaching Assistant, CS 726, Nonlinear Optimization 1, Spring 2022

Conference Reviewing

ITCS 2023, STOC 2023

Journal Reviewing

Mathematical Programming