Colin White

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Speeding up NAS with Adaptive Subset Selection.

[BibT_eX]

[DOI]

CoRR, 2022

On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

AutoML for Climate Change: A Call to Action.

[BibT_eX]

[DOI]

CoRR, 2022

On the Generalizability and Predictability of Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

New Aspects of Beyond Worst-Case Analysis.

[BibT_eX]

[DOI]

PhD thesis, 2021

How Powerful are Performance Predictors in Neural Architecture Search?

[BibT_eX]

[DOI]

CoRR, 2021

Exploring the loss landscape in neural architecture search.

[BibT_eX]

[DOI]

Sam Nolen

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

NAS-Bench-x11 and the Power of Learning Curves.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

How Powerful are Performance Predictors in Neural Architecture Search?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Synthetic Benchmarks for Scientific Research in Explainable Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search.

[BibT_eX]

[DOI]

Willie Neiswanger

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

<i>k</i>-center Clustering under Perturbation Resilience.

[BibT_eX]

[DOI]

Nika Haghtalab

ACM Trans. Algorithms, 2020

Post-Hoc Methods for Debiasing Neural Networks.

[BibT_eX]

[DOI]

Naveen Sundar Govindarajulu

CoRR, 2020

Local Search is State of the Art for NAS Benchmarks.

[BibT_eX]

[DOI]

Sam Nolen

CoRR, 2020

A Study on Encodings for Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Intra-Processing Methods for Debiasing Neural Networks.

[BibT_eX]

[DOI]

Naveen Sundar Govindarajulu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Robust Communication-Optimal Distributed Clustering Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 46th International Colloquium on Automata, Languages, and Programming, 2019

2018

Data-Driven Clustering via Parameterized Lloyd's Families.

[BibT_eX]

[DOI]

Travis Dick

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Clustering under Local Stability: Bridging the Gap between Worst-Case and Beyond Worst-Case Analysis.

[BibT_eX]

[DOI]

CoRR, 2017

General and Robust Communication-Efficient Algorithms for Distributed Clustering.

[BibT_eX]

[DOI]

Pranjal Awasthi

CoRR, 2017

Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems.

[BibT_eX]

[DOI]

Proceedings of the 30th Conference on Learning Theory, 2017

Data Driven Resource Allocation for Distributed Learning.

[BibT_eX]

[DOI]

Travis Dick

Mu Li

Venkata Krishna Pillutla

Alexander J. Smola

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Learning the best algorithm for max-cut, clustering, and other partitioning problems.

[BibT_eX]

[DOI]

CoRR, 2016

k-Center Clustering Under Perturbation Resilience.

[BibT_eX]

[DOI]

Nika Haghtalab

Proceedings of the 43rd International Colloquium on Automata, Languages, and Programming, 2016

Learning Combinatorial Functions from Pairwise Comparisons.

[BibT_eX]

[DOI]

Ellen Vitercik

Proceedings of the 29th Conference on Learning Theory, 2016

2015

Lower Bounds on the Query Times of Hub Labeling, Contraction Hierarchies, and Transit Node Routing.

[BibT_eX]

[DOI]

CoRR, 2015

Symmetric and Asymmetric $k$-center Clustering under Stability.

[BibT_eX]

[DOI]

Nika Haghtalab

CoRR, 2015

Lower Bounds in the Preprocessing and Query Phases of Routing Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Algorithms - ESA 2015, 2015

2014

Small Dynamical Heights for Quadratic Polynomials and Rational Functions.

[BibT_eX]

[DOI]

Exp. Math., 2014

2009

An Update on PENG Light.

[BibT_eX]

[DOI]

Rolf Schwitter

Proceedings of the Australasian Language Technology Association Workshop, 2009

1998

Microwave workshop for windows.

[BibT_eX]

[DOI]