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Colin White

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
2021 · Colin White, Willie Neiswanger, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 310
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
2019 · White, Colin, Neiswanger, Willie, et al. · arXiv (Cornell University) · 96
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How Powerful are Performance Predictors in Neural Architecture Search?
2021 · White, Colin, Zela, Arber, et al. · arXiv (Cornell University) · 79
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Synthetic Benchmarks for Scientific Research in Explainable Machine Learning
2021 · Liu, Yang, Khandagale, Sujay, et al. · arXiv (Cornell University) · 52
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Data Contamination Through the Lens of Time
2023 · Roberts, Manley, Thakur, Himanshu, et al. · arXiv (Cornell University) · 47
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Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
2024 · Ashiqur Rahman, Robert George, et al. · neural information processing systems · 42
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A Study on Encodings for Neural Architecture Search
2020 · White, Colin, Neiswanger, Willie, et al. · arXiv (Cornell University) · 41
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Exploring the Loss Landscape in Neural Architecture Search
2020 · White, Colin, Nolen, Sam, et al. · arXiv (Cornell University) · 37
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$k$-center Clustering under Perturbation Resilience
2015 · Balcan, Maria-Florina, Haghtalab, Nika, et al. · arXiv (Cornell University) · 29
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Intra-Processing Methods for Debiasing Neural Networks
2020 · Savani, Yash, White, Colin, et al. · arXiv (Cornell University) · 27
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Data-Driven Clustering via Parameterized Lloyd's Families
2018 · Balcan, Maria-Florina, Dick, Travis, et al. · arXiv (Cornell University) · 18
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Local Search is State of the Art for NAS Benchmarks
2020 · Colin White, Sam Nolen, et al. · arXiv (Cornell University) · 17
k -center Clustering under Perturbation Resilience
2020 · Maria-Florina Balcan, Nika Haghtalab, et al. · ACM Transactions on Algorithms · 16
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Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems
2016 · Balcan, Maria-Florina, Nagarajan, Vaishnavh, et al. · arXiv (Cornell University) · 13
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Learning Combinatorial Functions from Pairwise Comparisons
2016 · Balcan, Maria-Florina, Vitercik, Ellen, et al. · arXiv (Cornell University) · 13
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Local Search is State of the Art for Neural Architecture Search Benchmarks
2020 · Colin White, Sam Nolen, et al. · arXiv (Cornell University) · 12
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
2023 · Tu, Renbo, White, Colin, et al. · arXiv (Cornell University) · 10
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NAS-Bench-x11 and the Power of Learning Curves
2021 · Yan, Shen, White, Colin, et al. · arXiv (Cornell University) · 9
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General and Robust Communication-Efficient Algorithms for Distributed Clustering.
2017 · Pranjal Awasthi, Maria-Florina Balcan, et al. · arXiv (Cornell University) · 8
Data Driven Resource Allocation for Distributed Learning
2015 · Dick, Travis, Li, Mu, et al. · arXiv (Cornell University) · 7
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Lower Bounds in the Preprocessing and Query Phases of Routing Algorithms
2015 · Colin White · Lecture notes in computer science · 6
Can LLMs Reason Structurally? Benchmarking via the Lens of Data Structures
2025 · He, Yu, Li, Yingxi, et al. · arXiv (Cornell University) · 5
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Robust Communication-Optimal Distributed Clustering Algorithms
2017 · Awasthi, Pranjal, Bakshi, Ainesh, et al. · arXiv (Cornell University) · 5
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Small Dynamical Heights for Quadratic Polynomials and Rational Functions
2014 · Robert L. Benedetto, Ruqian Chen, et al. · Experimental Mathematics · 4
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Post-Hoc Methods for Debiasing Neural Networks
2020 · Yash Savani, Colin White, et al. · arXiv (Cornell University) · 2
Works count: 31
Citation count: 909
H-index: 13
I10-index: 17
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