White, Colin

27 publications

ICLR 2025 LiveBench: A Challenging, Contamination-Limited LLM Benchmark Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Sreemanti Dey, Shubh-Agrawal, Sandeep Singh Sandha, Siddartha Venkat Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum

ICLR 2024 Guaranteed Approximation Bounds for Mixed-Precision Neural Operators Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar

NeurIPS 2024 Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar

AutoML 2024 Speeding up NAS with Adaptive Subset Selection Vishak Prasad C, Colin White, Sibasis Nayak, Paarth Jain, Aziz Shameem, Prateek Garg, Ganesh Ramakrishnan

ICLR 2024 To the Cutoff... and Beyond? a Longitudinal Perspective on LLM Data Contamination Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley

NeurIPS 2024 TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White

NeurIPSW 2023 A Natural Experiment on LLM Data Contamination in Code Generation Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley

NeurIPS 2023 ForecastPFN: Synthetically-Trained Zero-Shot Forecasting Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra, Siddartha V Naidu, Colin White

ICLRW 2023 ForecastPFN: Universal Forecasting for Healthcare Gurnoor Singh Khurana, Samuel Dooley, Siddartha Venkat Naidu, Colin White

NeurIPSW 2023 Physics-Informed Neural Operators with Exact Differentiation on Arbitrary Geometries Colin White, Julius Berner, Jean Kossaifi, Mogab Elleithy, David Pitt, Daniel Leibovici, Zongyi Li, Kamyar Azizzadenesheli, Anima Anandkumar

NeurIPS 2023 Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition Samuel Dooley, Rhea Sukthanker, John Dickerson, Colin White, Frank Hutter, Micah Goldblum

NeurIPS 2023 When Do Neural Nets Outperform Boosted Trees on Tabular Data? Duncan McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C, Ganesh Ramakrishnan, Micah Goldblum, Colin White

NeurIPS 2022 NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies Arjun Krishnakumar, Colin White, Arber Zela, Renbo Tu, Mahmoud Safari, Frank Hutter

ICLR 2022 NAS-Bench-Suite: NAS Evaluation Is (Now) Surprisingly Easy Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter

NeurIPS 2022 On the Generalizability and Predictability of Recommender Systems Duncan McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White

NeurIPSW 2022 On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition Samuel Dooley, Rhea Sanjay Sukthanker, John P Dickerson, Colin White, Frank Hutter, Micah Goldblum

NeurIPSW 2022 On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition Samuel Dooley, Rhea Sanjay Sukthanker, John P Dickerson, Colin White, Frank Hutter, Micah Goldblum

AAAI 2021 BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White, Willie Neiswanger, Yash Savani

UAI 2021 Exploring the Loss Landscape in Neural Architecture Search Colin White, Sam Nolen, Yash Savani

NeurIPS 2021 How Powerful Are Performance Predictors in Neural Architecture Search? Colin White, Arber Zela, Robin Ru, Yang Liu, Frank Hutter

NeurIPS 2021 NAS-Bench-X11 and the Power of Learning Curves Shen Yan, Colin White, Yash Savani, Frank Hutter

NeurIPS 2020 A Study on Encodings for Neural Architecture Search Colin White, Willie Neiswanger, Sam Nolen, Yash Savani

NeurIPS 2020 Intra-Processing Methods for Debiasing Neural Networks Yash Savani, Colin White, Naveen Sundar Govindarajulu

NeurIPS 2018 Data-Driven Clustering via Parameterized Lloyd's Families Maria-Florina F Balcan, Travis Dick, Colin White

AISTATS 2017 Data Driven Resource Allocation for Distributed Learning Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Nina Balcan, Alexander J. Smola

COLT 2017 Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems Maria-Florina Balcan, Vaishnavh Nagarajan, Ellen Vitercik, Colin White

COLT 2016 Learning Combinatorial Functions from Pairwise Comparisons Maria-Florina Balcan, Ellen Vitercik, Colin White