Colin White
22 papers · 2016–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (7)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(9)
🧭
Keyword Pioneer
🏆
Keyword Champion
(2)
🔥
Unstoppable
(6)
⚡
Prolific Year
(5)
💎
Century Club
(22)
❓
The Questioner
(3)
🗃️
Keyword Collector
(70)
Conferences
NIPS (12)
ICLR (4)
COLT (2)
AAAI (1)
AISTATS (1)
AUTOML (1)
UAI (1)
Top co-authors
Keywords
neural architecture search
(7)
hyperparameter optimization
(4)
prior-data fitted network
(2)
hyperparameter tuning
(2)
architecture encoding
(2)
algorithm selection
(2)
surrogate model
(2)
learning curve extrapolation
(2)
neural network
(2)
fourier analysis
(1)
model architecture
(1)
face recognition
(1)
k-means clustering
(1)
few-shot learning
(1)
distributed learning
(1)
sample complexity
(1)
bayesian inference
(1)
fault tolerance
(1)
weight sharing
(1)
classification accuracy
(1)
Papers
LiveBench: A Challenging, Contamination-Limited LLM Benchmark
ICLR 2025
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
ICLR 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
NIPS 2024
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
NIPS 2024
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
NIPS 2023
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition
NIPS 2023
When Do Neural Nets Outperform Boosted Trees on Tabular Data?
NIPS 2023
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies
NIPS 2022
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy
ICLR 2022
On the Generalizability and Predictability of Recommender Systems
NIPS 2022
Exploring the loss landscape in neural architecture search
UAI 2021
NAS-Bench-x11 and the Power of Learning Curves
NIPS 2021
How Powerful are Performance Predictors in Neural Architecture Search?
NIPS 2021
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
AAAI 2021
A Study on Encodings for Neural Architecture Search
NIPS 2020
Intra-Processing Methods for Debiasing Neural Networks
NIPS 2020
Data-Driven Clustering via Parameterized Lloyd's Families
NIPS 2018
Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems
COLT 2017
Data Driven Resource Allocation for Distributed Learning
AISTATS 2017
Learning Combinatorial Functions from Pairwise Comparisons
COLT 2016