Colin White - RankMe

64 papers A* 21A 3Misc 1Journal 34Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DSR-Bench: Evaluating the Structural Reasoning Abilities of LLMs via Data Structures. CoRR Yu He, Yingxi Li, Colin White, Ellen Vitercik
2025	A*	`conf`	LiveBench: A Challenging, Contamination-Limited LLM Benchmark. ICLR Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Sreemanti Dey, Shubh-Agrawal, Sandeep Singh Sandha, Siddartha V. Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum
2025	J	`jnl`	Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes. CoRR Mayuka Jayawardhana, Renbo Tu, Samuel Dooley, Valeriia Cherepanova, Andrew Gordon Wilson, Frank Hutter, Colin White, Tom Goldstein, Micah Goldblum
2024	A*	`conf`	Guaranteed Approximation Bounds for Mixed-Precision Neural Operators. ICLR Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar
2024	J	`jnl`	LiveBench: A Challenging, Contamination-Free LLM Benchmark. CoRR 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
2024	A*	`conf`	Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs. NeurIPS Md. Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel V. Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Animashree Anandkumar
2024	J	`jnl`	Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs. CoRR Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel V. Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar
2024	J	`jnl`	Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive. CoRR Arka Pal, Deep Karkhanis, Samuel Dooley, Manley Roberts, Siddartha Naidu, Colin White
2024	—	`conf`	Speeding up NAS with Adaptive Subset Selection. AutoML Vishak Prasad C., Colin White, Sibasis Nayak, Paarth Jain, Aziz Shameem, Prateek Garg, Ganesh Ramakrishnan
2024	A*	`conf`	To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination. ICLR Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley
2024	A*	`conf`	TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks. NeurIPS Benjamin Feuer, Robin Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White
2024	J	`jnl`	TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks. CoRR Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White
2023	J	`jnl`	Data Contamination Through the Lens of Time. CoRR Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley
2023	A*	`conf`	ForecastPFN: Synthetically-Trained Zero-Shot Forecasting. NeurIPS Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra, Siddartha V. Naidu, Colin White
2023	J	`jnl`	ForecastPFN: Synthetically-Trained Zero-Shot Forecasting. CoRR Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra, Siddartha Naidu, Colin White
2023	—	`ed.`	International Conference on Automated Machine Learning, 12-15 November 2023, Hasso Plattner Institute, Potsdam, Germany. AutoML Aleksandra Faust, Roman Garnett, Colin White, Frank Hutter, Jacob R. Gardner
2023	J	`jnl`	Neural Architecture Search: Insights from 1000 Papers. CoRR Colin White, Mahmoud Safari, Rhea Sanjay Sukthanker, Binxin Ru, Thomas Elsken, Arber Zela, Debadeepta Dey, Frank Hutter
2023	A*	`conf`	Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition. NeurIPS Samuel Dooley, Rhea Sanjay Sukthanker, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum
2023	J	`jnl`	Speeding up Fourier Neural Operators via Mixed Precision. CoRR Colin White, Renbo Tu, Jean Kossaifi, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar
2023	A*	`conf`	When Do Neural Nets Outperform Boosted Trees on Tabular Data? NeurIPS Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ramakrishnan, Micah Goldblum, Colin White
2023	J	`jnl`	When Do Neural Nets Outperform Boosted Trees on Tabular Data? CoRR Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ramakrishnan, Micah Goldblum, Colin White
2022	J	`jnl`	AutoML for Climate Change: A Call to Action. CoRR Renbo Tu, Nicholas Roberts, Vishak Prasad, Sibasis Nayak, Paarth Jain, Frederic Sala, Ganesh Ramakrishnan, Ameet Talwalkar, Willie Neiswanger, Colin White
2022	A*	`conf`	NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies. NeurIPS Arjun Krishnakumar, Colin White, Arber Zela, Renbo Tu, Mahmoud Safari, Frank Hutter
2022	J	`jnl`	NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies. CoRR Arjun Krishnakumar, Colin White, Arber Zela, Renbo Tu, Mahmoud Safari, Frank Hutter
2022	A*	`conf`	NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy. ICLR Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter
2022	J	`jnl`	NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy. CoRR Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter
2022	A*	`conf`	On the Generalizability and Predictability of Recommender Systems. NeurIPS Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White
2022	J	`jnl`	On the Generalizability and Predictability of Recommender Systems. CoRR Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John P. Dickerson, Colin White
2022	J	`jnl`	On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition. CoRR Rhea Sanjay Sukthanker, Samuel Dooley, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum
2022	J	`jnl`	Speeding up NAS with Adaptive Subset Selection. CoRR Vishak Prasad C., Colin White, Paarth Jain, Sibasis Nayak, Ganesh Ramakrishnan
2021	A*	`conf`	BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search. AAAI Colin White, Willie Neiswanger, Yash Savani
2021	A	`conf`	Exploring the loss landscape in neural architecture search. UAI Colin White, Sam Nolen, Yash Savani
2021	A*	`conf`	How Powerful are Performance Predictors in Neural Architecture Search? NeurIPS Colin White, Arber Zela, Robin Ru, Yang Liu, Frank Hutter
2021	J	`jnl`	How Powerful are Performance Predictors in Neural Architecture Search? CoRR Colin White, Arber Zela, Binxin Ru, Yang Liu, Frank Hutter
2021	A*	`conf`	NAS-Bench-x11 and the Power of Learning Curves. NeurIPS Shen Yan, Colin White, Yash Savani, Frank Hutter
2021	J	`jnl`	NAS-Bench-x11 and the Power of Learning Curves. CoRR Shen Yan, Colin White, Yash Savani, Frank Hutter
2021	—	`—`	New Aspects of Beyond Worst-Case Analysis. Colin White
2021	—	`conf`	Synthetic Benchmarks for Scientific Research in Explainable Machine Learning. NeurIPS Datasets and Benchmarks Yang Liu, Sujay Khandagale, Colin White, Willie Neiswanger
2021	J	`jnl`	Synthetic Benchmarks for Scientific Research in Explainable Machine Learning. CoRR Yang Liu, Sujay Khandagale, Colin White, Willie Neiswanger
2020	A*	`conf`	A Study on Encodings for Neural Architecture Search. NeurIPS Colin White, Willie Neiswanger, Sam Nolen, Yash Savani
2020	J	`jnl`	A Study on Encodings for Neural Architecture Search. CoRR Colin White, Willie Neiswanger, Sam Nolen, Yash Savani
2020	A*	`conf`	Intra-Processing Methods for Debiasing Neural Networks. NeurIPS Yash Savani, Colin White, Naveen Sundar Govindarajulu
2020	J	`jnl`	Local Search is State of the Art for NAS Benchmarks. CoRR Colin White, Sam Nolen, Yash Savani
2020	J	`jnl`	Post-Hoc Methods for Debiasing Neural Networks. CoRR Yash Savani, Colin White, Naveen Sundar Govindarajulu
2019	J	`jnl`	BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search. CoRR Colin White, Willie Neiswanger, Yash Savani
2019	A*	`conf`	Robust Communication-Optimal Distributed Clustering Algorithms. ICALP Pranjal Awasthi, Ainesh Bakshi, Maria-Florina Balcan, Colin White, David P. Woodruff
2018	A*	`conf`	Data-Driven Clustering via Parameterized Lloyd's Families. NeurIPS Maria-Florina Balcan, Travis Dick, Colin White
2018	J	`jnl`	Data-Driven Clustering via Parameterized Lloyd's Families. CoRR Maria-Florina Balcan, Travis Dick, Colin White
2017	J	`jnl`	Clustering under Local Stability: Bridging the Gap between Worst-Case and Beyond Worst-Case Analysis. CoRR Maria-Florina Balcan, Colin White
2017	—	`conf`	Data Driven Resource Allocation for Distributed Learning. AAAI Workshops Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Maria-Florina Balcan, Alexander J. Smola
2017	A	`conf`	Data Driven Resource Allocation for Distributed Learning. AISTATS Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Nina Balcan, Alexander J. Smola
2017	J	`jnl`	General and Robust Communication-Efficient Algorithms for Distributed Clustering. CoRR Pranjal Awasthi, Maria-Florina Balcan, Colin White
2017	A*	`conf`	Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems. COLT Maria-Florina Balcan, Vaishnavh Nagarajan, Ellen Vitercik, Colin White
2016	A*	`conf`	Learning Combinatorial Functions from Pairwise Comparisons. COLT Maria-Florina Balcan, Ellen Vitercik, Colin White
2016	J	`jnl`	Learning Combinatorial Functions from Pairwise Comparisons. CoRR Maria-Florina Balcan, Ellen Vitercik, Colin White
2016	J	`jnl`	Learning the best algorithm for max-cut, clustering, and other partitioning problems. CoRR Maria-Florina Balcan, Vaishnavh Nagarajan, Ellen Vitercik, Colin White
2016	A*	`conf`	k-Center Clustering Under Perturbation Resilience. ICALP Maria-Florina Balcan, Nika Haghtalab, Colin White
2015	J	`jnl`	Data Driven Resource Allocation for Distributed Learning. CoRR Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Maria-Florina Balcan, Alexander J. Smola
2015	A	`conf`	Lower Bounds in the Preprocessing and Query Phases of Routing Algorithms. ESA Colin White
2015	J	`jnl`	Lower Bounds on the Query Times of Hub Labeling, Contraction Hierarchies, and Transit Node Routing. CoRR Colin White
2015	J	`jnl`	Symmetric and Asymmetric $k$-center Clustering under Stability. CoRR Maria-Florina Balcan, Nika Haghtalab, Colin White
2014	J	`jnl`	Small Dynamical Heights for Quadratic Polynomials and Rational Functions. Exp. Math. Robert L. Benedetto, Ruqian Chen, Trevor Hyde, Yordanka Kovacheva, Colin White
2009	Misc	`conf`	An Update on PENG Light. ALTA Colin White, Rolf Schwitter
1998	J	`jnl`	Microwave workshop for windows. Comput. Educ. Colin White