Colin White
22 papers · 2016–2025 · 7 venues · across top CS/AI venues
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Machine Learning
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(5)
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neural architecture search
(9)
hyperparameter optimization
(4)
prior-data fitted network
(2)
surrogate model
(2)
learning curve extrapolation
(2)
algorithm selection
(2)
hyperparameter tuning
(2)
neural network
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architecture encoding
(2)
k-means clustering
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face recognition
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distributed learning
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model architecture
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bayesian inference
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sample complexity
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in-context learning
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Papers
LiveBench: A Challenging, Contamination-Limited LLM Benchmark
ICLR 2025
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
ICLR 2024
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
NeurIPS 2024
Speeding up NAS with Adaptive Subset Selection
AutoML 2024
To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
ICLR 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
NeurIPS 2024
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
NeurIPS 2023
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition
NeurIPS 2023
When Do Neural Nets Outperform Boosted Trees on Tabular Data?
NeurIPS 2023
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
ICLR 2022
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies
NeurIPS 2022
On the Generalizability and Predictability of Recommender Systems
NeurIPS 2022
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
AAAI 2021
Exploring the loss landscape in neural architecture search
UAI 2021
How Powerful are Performance Predictors in Neural Architecture Search?
NeurIPS 2021
NAS-Bench-x11 and the Power of Learning Curves
NeurIPS 2021
A Study on Encodings for Neural Architecture Search
NeurIPS 2020
Intra-Processing Methods for Debiasing Neural Networks
NeurIPS 2020
Data-Driven Clustering via Parameterized Lloyd's Families
NeurIPS 2018
Data Driven Resource Allocation for Distributed Learning
AISTATS 2017
Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems
COLT 2017
Learning Combinatorial Functions from Pairwise Comparisons
COLT 2016