Ungar, Lyle

11 publications

NeurIPS 2025 Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers? Yihao Li, Saeed Salehi, Lyle Ungar, Konrad Kording

DMLR 2025 The FIX Benchmark: Extracting Features Interpretable to eXperts Helen Jin, Shreya Havaldar, Chaehyeon Kim, Anton Xue, Weiqiu You, Helen Qu, Marco Gatti, Daniel A Hashimoto, Bhuvnesh Jain, Amin Madani, Masao Sako, Lyle Ungar, Eric Wong

TMLR 2023 Automated Detection of Causal Inference Opportunities: Regression Discontinuity Subgroup Discovery Tony Liu, Patrick Lawlor, Lyle Ungar, Konrad Kording, Rahul Ladhania

ICMLW 2023 Automated Detection of Interpretable Causal Inference Opportunities: Regression Discontinuity Subgroup Discovery Tony Liu, Patrick Lawlor, Lyle Ungar, Konrad Kording, Rahul Ladhania

CoLLAs 2023 Prospective Learning: Principled Extrapolation to the Future Ashwin De Silva, Rahul Ramesh, Lyle Ungar, Marshall Hussain Shuler, Noah J. Cowan, Michael Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu Timothy Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein

NeurIPSW 2023 Visual Topics via Visual Vocabularies Shreya Havaldar, Weiqiu You, Lyle Ungar, Eric Wong

CLeaR 2022 Data-Driven Exclusion Criteria for Instrumental Variable Studies Tony Liu, Patrick Lawlor, Lyle Ungar, Konrad Kording

JMLR 2014 Spectral Learning of Latent-Variable PCFGs: Algorithms and Sample Complexity Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle Ungar

NeurIPS 2013 Faster Ridge Regression via the Subsampled Randomized Hadamard Transform Yichao Lu, Paramveer Dhillon, Dean P. Foster, Lyle Ungar

NeurIPS 2013 New Subsampling Algorithms for Fast Least Squares Regression Paramveer Dhillon, Yichao Lu, Dean P. Foster, Lyle Ungar

AISTATS 2010 Feature Selection Using Multiple Streams Paramveer Dhillon, Dean Foster, Lyle Ungar