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Colin White
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2020 – today
- 2024
- [c24]Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley:
To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination. ICLR 2024 - [c23]Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar:
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators. ICLR 2024 - [i30]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 abs/2402.11137 (2024) - [i29]Arka Pal, Deep Karkhanis, Samuel Dooley, Manley Roberts, Siddartha Naidu, Colin White:
Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive. CoRR abs/2402.13228 (2024) - [i28]Md Ashiqur Rahman
, Robert Joseph George, Mogab Elleithy, Daniel V. Leibovici, Zongyi Li
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs. CoRR abs/2403.12553 (2024) - [i27]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 abs/2406.19314 (2024) - 2023
- [c22]Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra, Siddartha V. Naidu, Colin White:
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting. NeurIPS 2023 - [c21]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 - [c20]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 - [e1]Aleksandra Faust, Roman Garnett, Colin White, Frank Hutter, Jacob R. Gardner:
International Conference on Automated Machine Learning, 12-15 November 2023, Hasso Plattner Institute, Potsdam, Germany. Proceedings of Machine Learning Research 224, PMLR 2023 [contents] - [i26]Colin White, Mahmoud Safari, Rhea Sukthanker, Binxin Ru, Thomas Elsken, Arber Zela, Debadeepta Dey, Frank Hutter:
Neural Architecture Search: Insights from 1000 Papers. CoRR abs/2301.08727 (2023) - [i25]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 abs/2305.02997 (2023) - [i24]Colin White, Renbo Tu, Jean Kossaifi, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar:
Speeding up Fourier Neural Operators via Mixed Precision. CoRR abs/2307.15034 (2023) - [i23]Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley:
Data Contamination Through the Lens of Time. CoRR abs/2310.10628 (2023) - [i22]Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra, Siddartha Naidu, Colin White:
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting. CoRR abs/2311.01933 (2023) - 2022
- [c19]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 - [c18]Arjun Krishnakumar, Colin White, Arber Zela, Renbo Tu, Mahmoud Safari, Frank Hutter:
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies. NeurIPS 2022 - [c17]Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White:
On the Generalizability and Predictability of Recommender Systems. NeurIPS 2022 - [i21]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 abs/2201.13396 (2022) - [i20]Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John P. Dickerson, Colin White:
On the Generalizability and Predictability of Recommender Systems. CoRR abs/2206.11886 (2022) - [i19]Arjun Krishnakumar, Colin White, Arber Zela, Renbo Tu, Mahmoud Safari, Frank Hutter:
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies. CoRR abs/2210.03230 (2022) - [i18]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 abs/2210.03324 (2022) - [i17]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 abs/2210.09943 (2022) - [i16]Vishak Prasad C., Colin White, Paarth Jain, Sibasis Nayak, Ganesh Ramakrishnan:
Speeding up NAS with Adaptive Subset Selection. CoRR abs/2211.01454 (2022) - 2021
- [b1]Colin White:
New Aspects of Beyond Worst-Case Analysis. Carnegie Mellon University, USA, 2021 - [c16]Colin White, Willie Neiswanger, Yash Savani
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search. AAAI 2021: 10293-10301 - [c15]Yang Liu, Sujay Khandagale, Colin White, Willie Neiswanger:
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning. NeurIPS Datasets and Benchmarks 2021 - [c14]Shen Yan, Colin White, Yash Savani, Frank Hutter:
NAS-Bench-x11 and the Power of Learning Curves. NeurIPS 2021: 22534-22549 - [c13]Colin White, Arber Zela, Robin Ru, Yang Liu, Frank Hutter:
How Powerful are Performance Predictors in Neural Architecture Search? NeurIPS 2021: 28454-28469 - [c12]Colin White, Sam Nolen, Yash Savani:
Exploring the loss landscape in neural architecture search. UAI 2021: 654-664 - [i15]Colin White, Arber Zela, Binxin Ru, Yang Liu, Frank Hutter:
How Powerful are Performance Predictors in Neural Architecture Search? CoRR abs/2104.01177 (2021) - [i14]Yang Liu, Sujay Khandagale, Colin White, Willie Neiswanger:
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning. CoRR abs/2106.12543 (2021) - [i13]Shen Yan, Colin White, Yash Savani, Frank Hutter:
NAS-Bench-x11 and the Power of Learning Curves. CoRR abs/2111.03602 (2021) - 2020
- [j3]Maria-Florina Balcan, Nika Haghtalab, Colin White:
k-center Clustering under Perturbation Resilience. ACM Trans. Algorithms 16(2): 22:1-22:39 (2020) - [c11]Yash Savani, Colin White, Naveen Sundar Govindarajulu:
Intra-Processing Methods for Debiasing Neural Networks. NeurIPS 2020 - [c10]Colin White, Willie Neiswanger, Sam Nolen, Yash Savani:
A Study on Encodings for Neural Architecture Search. NeurIPS 2020 - [i12]Colin White, Sam Nolen, Yash Savani
Local Search is State of the Art for NAS Benchmarks. CoRR abs/2005.02960 (2020) - [i11]Yash Savani, Colin White, Naveen Sundar Govindarajulu:
Post-Hoc Methods for Debiasing Neural Networks. CoRR abs/2006.08564 (2020) - [i10]Colin White, Willie Neiswanger, Sam Nolen, Yash Savani:
A Study on Encodings for Neural Architecture Search. CoRR abs/2007.04965 (2020)
2010 – 2019
- 2019
- [c9]Pranjal Awasthi, Ainesh Bakshi, Maria-Florina Balcan, Colin White, David P. Woodruff:
Robust Communication-Optimal Distributed Clustering Algorithms. ICALP 2019: 18:1-18:16 - [i9]Colin White, Willie Neiswanger, Yash Savani:
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search. CoRR abs/1910.11858 (2019) - 2018
- [c8]Maria-Florina Balcan, Travis Dick, Colin White:
Data-Driven Clustering via Parameterized Lloyd's Families. NeurIPS 2018: 10664-10674 - [i8]Maria-Florina Balcan, Travis Dick, Colin White:
Data-Driven Clustering via Parameterized Lloyd's Families. CoRR abs/1809.06987 (2018) - 2017
- [c7]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 - [c6]Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Nina Balcan, Alexander J. Smola:
Data Driven Resource Allocation for Distributed Learning. AISTATS 2017: 662-671 - [c5]Maria-Florina Balcan, Vaishnavh Nagarajan, Ellen Vitercik, Colin White:
Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems. COLT 2017: 213-274 - [i7]Pranjal Awasthi, Maria-Florina Balcan, Colin White:
General and Robust Communication-Efficient Algorithms for Distributed Clustering. CoRR abs/1703.00830 (2017) - [i6]Maria-Florina Balcan, Colin White:
Clustering under Local Stability: Bridging the Gap between Worst-Case and Beyond Worst-Case Analysis. CoRR abs/1705.07157 (2017) - 2016
- [c4]Maria-Florina Balcan, Ellen Vitercik, Colin White:
Learning Combinatorial Functions from Pairwise Comparisons. COLT 2016: 310-335 - [c3]Maria-Florina Balcan, Nika Haghtalab, Colin White:
k-Center Clustering Under Perturbation Resilience. ICALP 2016: 68:1-68:14 - [i5]Maria-Florina Balcan, Ellen Vitercik, Colin White:
Learning Combinatorial Functions from Pairwise Comparisons. CoRR abs/1605.09227 (2016) - [i4]Maria-Florina Balcan, Vaishnavh Nagarajan, Ellen Vitercik, Colin White:
Learning the best algorithm for max-cut, clustering, and other partitioning problems. CoRR abs/1611.04535 (2016) - 2015
- [c2]Colin White:
Lower Bounds in the Preprocessing and Query Phases of Routing Algorithms. ESA 2015: 1013-1024 - [i3]Colin White:
Lower Bounds on the Query Times of Hub Labeling, Contraction Hierarchies, and Transit Node Routing. CoRR abs/1501.04262 (2015) - [i2]Maria-Florina Balcan, Nika Haghtalab, Colin White:
Symmetric and Asymmetric $k$-center Clustering under Stability. CoRR abs/1505.03924 (2015) - [i1]Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Maria-Florina Balcan, Alexander J. Smola:
Data Driven Resource Allocation for Distributed Learning. CoRR abs/1512.04848 (2015) - 2014
- [j2]Robert L. Benedetto
Small Dynamical Heights for Quadratic Polynomials and Rational Functions. Exp. Math. 23(4): 433-447 (2014)
2000 – 2009
- 2009
- [c1]Colin White, Rolf Schwitter:
An Update on PENG Light. ALTA 2009: 80-88
1990 – 1999
- 1998
- [j1]Colin White:
Microwave workshop for windows. Comput. Educ. 30(1-2): 125-129 (1998)
Coauthor Index
aka: Nina Balcan
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last updated on 2024-08-08 19:19 CEST by the dblp team
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