Colin White

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 50

Top Topics

Neural Architecture

Subset Selection

Learning Curves

Top Venues

Publications

Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel V. Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs. CoRR (2024)
Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Siddartha Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum
LiveBench: A Challenging, Contamination-Free LLM Benchmark. CoRR (2024)
Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators. ICLR (2024)
Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks. CoRR (2024)
Arka Pal, Deep Karkhanis, Samuel Dooley, Manley Roberts, Siddartha Naidu, Colin White
Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive. CoRR (2024)
Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley
To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination. ICLR (2024)
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ramakrishnan, Micah Goldblum, Colin White
When Do Neural Nets Outperform Boosted Trees on Tabular Data? CoRR (2023)
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ramakrishnan, Micah Goldblum, Colin White
When Do Neural Nets Outperform Boosted Trees on Tabular Data? NeurIPS (2023)
Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra, Siddartha Naidu, Colin White
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting. CoRR (2023)
Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley
Data Contamination Through the Lens of Time. CoRR (2023)
Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra, Siddartha V. Naidu, Colin White
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting. NeurIPS (2023)
Colin White, Mahmoud Safari, Rhea Sukthanker, Binxin Ru, Thomas Elsken, Arber Zela, Debadeepta Dey, Frank Hutter
Neural Architecture Search: Insights from 1000 Papers. CoRR (2023)
Colin White, Renbo Tu, Jean Kossaifi, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar
Speeding up Fourier Neural Operators via Mixed Precision. CoRR (2023)
Samuel Dooley, Rhea Sukthanker, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition. NeurIPS (2023)
Arjun Krishnakumar, Colin White, Arber Zela, Renbo Tu, Mahmoud Safari, Frank Hutter
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies. NeurIPS (2022)
Renbo Tu, Nicholas Roberts, Vishak Prasad, Sibasis Nayak, Paarth Jain, Frederic Sala, Ganesh Ramakrishnan, Ameet Talwalkar, Willie Neiswanger, Colin White
AutoML for Climate Change: A Call to Action. CoRR (2022)
Rhea Sukthanker, Samuel Dooley, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum
On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition. CoRR (2022)
Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy. CoRR (2022)
Vishak Prasad C., Colin White, Paarth Jain, Sibasis Nayak, Ganesh Ramakrishnan
Speeding up NAS with Adaptive Subset Selection. CoRR (2022)
Arjun Krishnakumar, Colin White, Arber Zela, Renbo Tu, Mahmoud Safari, Frank Hutter
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies. CoRR (2022)
Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy. ICLR (2022)
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John P. Dickerson, Colin White
On the Generalizability and Predictability of Recommender Systems. CoRR (2022)
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White
On the Generalizability and Predictability of Recommender Systems. NeurIPS (2022)
Colin White, Willie Neiswanger, Yash Savani
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search. AAAI (2021)
Shen Yan, Colin White, Yash Savani, Frank Hutter
NAS-Bench-x11 and the Power of Learning Curves. CoRR (2021)
Colin White, Arber Zela, Robin Ru, Yang Liu, Frank Hutter
How Powerful are Performance Predictors in Neural Architecture Search? NeurIPS (2021)
Shen Yan, Colin White, Yash Savani, Frank Hutter
NAS-Bench-x11 and the Power of Learning Curves. NeurIPS (2021)
Yang Liu, Sujay Khandagale, Colin White, Willie Neiswanger
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning. NeurIPS Datasets and Benchmarks (2021)
Colin White, Arber Zela, Binxin Ru, Yang Liu, Frank Hutter
How Powerful are Performance Predictors in Neural Architecture Search? CoRR (2021)
Yang Liu, Sujay Khandagale, Colin White, Willie Neiswanger
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning. CoRR (2021)
Colin White, Sam Nolen, Yash Savani
Exploring the loss landscape in neural architecture search. UAI (2021)
Colin White, Sam Nolen, Yash Savani
Local Search is State of the Art for NAS Benchmarks. CoRR (2020)
Colin White, Willie Neiswanger, Sam Nolen, Yash Savani
A Study on Encodings for Neural Architecture Search. NeurIPS (2020)
Maria-Florina Balcan, Nika Haghtalab, Colin White
-center Clustering under Perturbation Resilience. ACM Trans. Algorithms 16 (2) (2020)
Yash Savani, Colin White, Naveen Sundar Govindarajulu
Intra-Processing Methods for Debiasing Neural Networks. NeurIPS (2020)
Colin White, Willie Neiswanger, Sam Nolen, Yash Savani
A Study on Encodings for Neural Architecture Search. CoRR (2020)
Yash Savani, Colin White, Naveen Sundar Govindarajulu
Post-Hoc Methods for Debiasing Neural Networks. CoRR (2020)
Pranjal Awasthi, Ainesh Bakshi, Maria-Florina Balcan, Colin White, David P. Woodruff
Robust Communication-Optimal Distributed Clustering Algorithms. ICALP (2019)
Colin White, Willie Neiswanger, Yash Savani
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search. CoRR (2019)
Maria-Florina Balcan, Travis Dick, Colin White
Data-Driven Clustering via Parameterized Lloyd's Families. NeurIPS (2018)
Maria-Florina Balcan, Travis Dick, Colin White
Data-Driven Clustering via Parameterized Lloyd's Families. CoRR (2018)
Maria-Florina Balcan, Vaishnavh Nagarajan, Ellen Vitercik, Colin White
Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems. COLT (2017)
Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Maria-Florina Balcan, Alexander J. Smola
Data Driven Resource Allocation for Distributed Learning. AAAI Workshops (2017)
Maria-Florina Balcan, Colin White
Clustering under Local Stability: Bridging the Gap between Worst-Case and Beyond Worst-Case Analysis. CoRR (2017)
Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Nina Balcan, Alexander J. Smola
Data Driven Resource Allocation for Distributed Learning. AISTATS (2017)
Pranjal Awasthi, Maria-Florina Balcan, Colin White
General and Robust Communication-Efficient Algorithms for Distributed Clustering. CoRR (2017)
Maria-Florina Balcan, Nika Haghtalab, Colin White
k-Center Clustering Under Perturbation Resilience. ICALP (2016)
Maria-Florina Balcan, Ellen Vitercik, Colin White
Learning Combinatorial Functions from Pairwise Comparisons. COLT (2016)
Maria-Florina Balcan, Ellen Vitercik, Colin White
Learning Combinatorial Functions from Pairwise Comparisons. CoRR (2016)
Maria-Florina Balcan, Vaishnavh Nagarajan, Ellen Vitercik, Colin White
Learning the best algorithm for max-cut, clustering, and other partitioning problems. CoRR (2016)
Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Maria-Florina Balcan, Alexander J. Smola
Data Driven Resource Allocation for Distributed Learning. CoRR (2015)
Colin White
Lower Bounds on the Query Times of Hub Labeling, Contraction Hierarchies, and Transit Node Routing. CoRR (2015)
Maria-Florina Balcan, Nika Haghtalab, Colin White
Symmetric and Asymmetric $k$-center Clustering under Stability. CoRR (2015)
Colin White
Lower Bounds in the Preprocessing and Query Phases of Routing Algorithms. ESA (2015)
Robert L. Benedetto, Ruqian Chen, Trevor Hyde, Yordanka Kovacheva, Colin White
Small Dynamical Heights for Quadratic Polynomials and Rational Functions. Exp. Math. 23 (4) (2014)
Colin White, Rolf Schwitter
An Update on PENG Light. ALTA (2009)
Colin White
Microwave workshop for windows. Comput. Educ. 30 (1-2) (1998)