More from the Same Authors

• 2022 : Making the World More Equal, One Ride at a Time: Studying Public Transportation Initiatives Using Interpretable Causal Inference »
  Gaurav Rajesh Parikh · Albert Sun · Jenny Huang · Lesia Semenova · Cynthia Rudin
• 2023 Poster: This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations »
  Chiyu Ma · Brandon Zhao · Chaofan Chen · Cynthia Rudin
• 2023 Poster: A Path to Simpler Models Starts With Noise »
  Lesia Semenova · Harry Chen · Ronald Parr · Cynthia Rudin
• 2023 Poster: The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance »
  Jon Donnelly · Srikar Katta · Cynthia Rudin · Edward Browne
• 2023 Poster: Exploring and Interacting with the Set of Good Sparse Generalized Additive Models »
  Zhi Chen · Chudi Zhong · Margo Seltzer · Cynthia Rudin
• 2023 Poster: OKRidge: Scalable Optimal k-Sparse Ridge Regression for Learning Dynamical Systems »
  Jiachang Liu · Sam Rosen · Chudi Zhong · Cynthia Rudin
• 2022 Panel: Panel 3A-2: Linear tree shap… & Exploring the Whole… »
  peng yu · Cynthia Rudin
• 2022 : Panel Discussion »
  Cynthia Rudin · Dan Bohus · Brenna Argall · Alison Gopnik · Igor Mordatch · Samuel Kaski
• 2022 Poster: Exploring the Whole Rashomon Set of Sparse Decision Trees »
  Rui Xin · Chudi Zhong · Zhi Chen · Takuya Takagi · Margo Seltzer · Cynthia Rudin
• 2022 Poster: Rethinking Nonlinear Instrumental Variable Models through Prediction Validity »
  Chunxiao Li · Cynthia Rudin · Tyler H. McCormick
• 2022 Poster: FasterRisk: Fast and Accurate Interpretable Risk Scores »
  Jiachang Liu · Chudi Zhong · Boxuan Li · Margo Seltzer · Cynthia Rudin
• 2021 : AME: Interpretable Almost Exact Matching for Causal Inference »
  Haoning Jiang · Thomas Howell · Neha Gupta · Vittorio Orlandi · Sudeepa Roy · Marco Morucci · Harsh Parikh · Alexander Volfovsky · Cynthia Rudin
• 2020 : Contributed Talk - Cryo-ZSSR: multiple-image super-resolution based on deep internal learning »
  Qinwen Huang · Reed Chen · Cynthia Rudin
• 2020 Workshop: Self-Supervised Learning -- Theory and Practice »
  Pengtao Xie · Shanghang Zhang · Pulkit Agrawal · Ishan Misra · Cynthia Rudin · Abdelrahman Mohamed · Wenzhen Yuan · Barret Zoph · Laurens van der Maaten · Xingyi Yang · Eric Xing
• 2020 : How should researchers engage with controversial applications of AI? »
  Logan Koepke · CATHERINE ONEIL · Tawana Petty · Cynthia Rudin · Deborah Raji · Shawn Bushway
• 2020 Workshop: Fair AI in Finance »
  Senthil Kumar · Cynthia Rudin · John Paisley · Isabelle Moulinier · C. Bayan Bruss · Eren K. · Susan Tibbs · Oluwatobi Olabiyi · Simona Gandrabur · Svitlana Vyetrenko · Kevin Compher
• 2019 Poster: This Looks Like That: Deep Learning for Interpretable Image Recognition »
  Chaofan Chen · Oscar Li · Daniel Tao · Alina Barnett · Cynthia Rudin · Jonathan K Su
• 2019 Spotlight: This Looks Like That: Deep Learning for Interpretable Image Recognition »
  Chaofan Chen · Oscar Li · Daniel Tao · Alina Barnett · Cynthia Rudin · Jonathan K Su
• 2019 Poster: Optimal Sparse Decision Trees »
  Xiyang Hu · Cynthia Rudin · Margo Seltzer
• 2019 Spotlight: Optimal Sparse Decision Trees »
  Xiyang Hu · Cynthia Rudin · Margo Seltzer
• 2018 : Invited Talk 6: Is it possible to have interpretable models for AI in Finance? »
  Cynthia Rudin
• 2018 : Poster Session 1 (note there are numerous missing names here, all papers appear in all poster sessions) »
  Akhilesh Gotmare · Kenneth Holstein · Jan Brabec · Michal Uricar · Kaleigh Clary · Cynthia Rudin · Sam Witty · Andrew Ross · Shayne O'Brien · Babak Esmaeili · Jessica Forde · Massimo Caccia · Ali Emami · Scott Jordan · Bronwyn Woods · D. Sculley · Rebekah Overdorf · Nicolas Le Roux · Peter Henderson · Brandon Yang · Tzu-Yu Liu · David Jensen · Niccolo Dalmasso · Weitang Liu · Paul Marc TRICHELAIR · Jun Ki Lee · Akanksha Atrey · Matt Groh · Yotam Hechtlinger · Emma Tosch