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  • Apr
    15

    CS Seminar: Simpler Machine Learning Models for a Complicated World (Cynthia Rudin)

    Department of Computer Science (CS)

    12:15 PM KGH 1120, Kellogg Global Hub

    EVENT DETAILS

    CS Seminar: Simpler Machine Learning Models for a Complicated World (Cynthia Rudin)

    In collaboration with the Kellogg Operations Department

    Monday / CS Seminar
    April 15th / 12:15 PM
    In Person / Kellogg Global Hub 1120

    Speaker
    Cynthia Rudin, Duke University

    Talk Title
    Simpler Machine Learning Models for a Complicated World

    Abstract
    While the trend in machine learning has tended towards building more complicated (black box) models, such models have not shown any performance advantages for many real-world datasets, and they are more difficult to troubleshoot and use. For these datasets, simpler models (sometimes small enough to fit on an index card) can be just as accurate. However, the design of interpretable models is quite challenging due to the "interaction bottleneck" where domain experts must interact with machine learning algorithms.

    I will present a new paradigm for interpretable machine learning that solves the interaction bottleneck. In this paradigm, machine learning algorithms are not focused on finding a single optimal model, but instead capture the full collection of good (i.e., low-loss) models, which we call "the Rashomon set." Finding Rashomon sets is extremely computationally difficult, but the benefits are massive. I will present the first algorithm for finding Rashomon sets for a nontrivial function class (sparse decision trees) called TreeFARMS. TreeFARMS, along with its user interface TimberTrek, mitigate the interaction bottleneck for users. TreeFARMS also allows users to incorporate constraints (such as fairness constraints) easily.

    I will also present a "path," that is, a mathematical explanation, for the existence of simpler-yet-accurate models and the circumstances under which they arise. In particular, problems where the outcome is uncertain tend to admit large Rashomon sets and simpler models. Hence, the Rashomon set can shed light on the existence of simpler models for many real-world high-stakes decisions. This conclusion has significant policy implications, as it undermines the main reason for using black box models for decisions that deeply affect people's lives.

    This is joint work with my colleagues Margo Seltzer and Ron Parr, as well as our exceptional students Chudi Zhong, Lesia Semenova, Jiachang Liu, Rui Xin, Zhi Chen, and Harry Chen. It builds upon the work of many past students and collaborators over the last decade.

    Here are papers I will discuss in the talk:

    Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo Seltzer, Cynthia Rudin
    Exploring the Whole Rashomon Set of Sparse Decision Trees, NeurIPS (oral), 2022.
    https://arxiv.org/abs/2209.08040

    Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo Seltzer
    TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization, IEEE VIS, 2022.
    https://poloclub.github.io/timbertrek/

    Lesia Semenova, Cynthia Rudin, and Ron Parr
    On the Existence of Simpler Machine Learning Models. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2022.
    https://arxiv.org/abs/1908.01755

    Lesia Semenova, Harry Chen, Ronald Parr, Cynthia Rudin
    A Path to Simpler Models Starts With Noise, NeurIPS, 2023.
    https://arxiv.org/abs/2310.19726

    Biography
    TBA

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    TIME Monday, April 15, 2024 at 12:15 PM - 1:15 PM

    LOCATION KGH 1120, Kellogg Global Hub    map it

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    CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

    CALENDAR Department of Computer Science (CS)

  • Apr
    19

    CS Seminar: Hardware-Aware Efficient Primitives for Machine Learning (Dan Fu)

    Department of Computer Science (CS)

    12:00 PM 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

    EVENT DETAILS

    TIME Friday, April 19, 2024 at 12:00 PM - 1:00 PM

    LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

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    CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

    CALENDAR Department of Computer Science (CS)

  • Apr
    24

    CS Seminar: AI Powered Movement Analysis, Big Rehabilitation Data and a Path to Precision Rehabilitation (R. James Cotton)

    Department of Computer Science (CS)

    12:00 PM 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

    EVENT DETAILS

    TIME Wednesday, April 24, 2024 at 12:00 PM - 1:00 PM

    LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

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    CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

    CALENDAR Department of Computer Science (CS)

  • Apr
    25

    TGI Bagel Thursday

    Department of Computer Science (CS)

    9:00 AM 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

    EVENT DETAILS

    TIME Thursday, April 25, 2024 at 9:00 AM - 11:00 AM

    LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

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    CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

    CALENDAR Department of Computer Science (CS)

  • Apr
    29

    CS Seminar: Kaize Ding

    Department of Computer Science (CS)

    12:00 PM 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

    EVENT DETAILS

    TIME Monday, April 29, 2024 at 12:00 PM - 1:00 PM

    LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

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    CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

    CALENDAR Department of Computer Science (CS)

  • May
    1

    CS Seminar: Tong Zhang

    Department of Computer Science (CS)

    12:00 PM 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

    EVENT DETAILS

    TIME Wednesday, May 1, 2024 at 12:00 PM - 1:00 PM

    LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

    ADD TO CALENDAR

    CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

    CALENDAR Department of Computer Science (CS)

  • May
    30

    TGI Bagel Thursday

    Department of Computer Science (CS)

    9:00 AM 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

    EVENT DETAILS

    TIME Thursday, May 30, 2024 at 9:00 AM - 11:00 AM

    LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

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    CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

    CALENDAR Department of Computer Science (CS)

  • Jun
    10

    Northwestern Engineering PhD Hooding and Master's Degree Recognition Ceremony

    McCormick School of Engineering and Applied Science

    9:00 AM Welsh-Ryan Arena

    EVENT DETAILSmore info

    TIME Monday, June 10, 2024 at 9:00 AM - 11:00 AM

    LOCATION Welsh-Ryan Arena   

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    CONTACT Amy Pokrass    amy.pokrass@northwestern.edu EMAIL

    CALENDAR McCormick School of Engineering and Applied Science

  • Jun
    10

    Northwestern Engineering Undergraduate Convocation

    McCormick School of Engineering and Applied Science

    2:00 PM Welsh-Ryan Arena

    EVENT DETAILSmore info

    TIME Monday, June 10, 2024 at 2:00 PM - 4:00 PM

    LOCATION Welsh-Ryan Arena   

    ADD TO CALENDAR

    CONTACT Amy Pokrass    amy.pokrass@northwestern.edu EMAIL

    CALENDAR McCormick School of Engineering and Applied Science