Daniel Golovin

45 papers A* 14A 1Journal 19Unranked 10

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	The Vizier Gaussian Process Bandit Algorithm. CoRR Xingyou Song, Qiuyi Zhang, Chansoo Lee, Emily Fertig, Tzu-Kuo Huang, Lior Belenki, Greg Kochanski, Setareh Ariafar, Srinivas Vasudevan, Sagi Perel, Daniel Golovin
2023	J	`jnl`	SmartChoices: Augmenting Software with Learned Implementations. CoRR Daniel Golovin, Gábor Bartók, Eric Chen, Emily Donahue, Tzu-Kuo Huang, Efi Kokiopoulou, Ruoyan Qin, Nikhil Sarda, Justin Sybrandt, Vincent Tjeng
2022	—	`conf`	Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization. AutoML Xingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin
2022	J	`jnl`	Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization. CoRR Xingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin
2020	A*	`conf`	Gradientless Descent: High-Dimensional Zeroth-Order Optimization. ICLR Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi (Richard) Zhang
2020	A*	`conf`	Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization. ICML Qiuyi (Richard) Zhang, Daniel Golovin
2020	J	`jnl`	Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization. CoRR Daniel Golovin, Qiuyi (Richard) Zhang
2019	J	`jnl`	Gradientless Descent: High-Dimensional Zeroth-Order Optimization. CoRR Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi (Richard) Zhang
2017	A*	`conf`	Google Vizier: A Service for Black-Box Optimization. KDD Daniel Golovin, Benjamin Solnik, Subhodeep Moitra, Greg Kochanski, John Karro, D. Sculley
2015	—	`conf`	Hidden Technical Debt in Machine Learning Systems. NIPS D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young, Jean-François Crespo, Dan Dennison
2015	J	`jnl`	Improved approximations for two-stage min-cut and shortest path problems under uncertainty. Math. Program. Daniel Golovin, Vineet Goyal, Valentin Polishchuk, R. Ravi, Mikko Sysikaski
2014	J	`jnl`	Online Submodular Maximization under a Matroid Constraint with Application to Learning Assignments. CoRR Daniel Golovin, Andreas Krause, Matthew J. Streeter
2014	J	`jnl`	Sequential Decision Making in Computational Sustainability via Adaptive Submodularity. AI Mag. Andreas Krause, Daniel Golovin, Sarah J. Converse
2014	—	`ch.`	Submodular Function Maximization. Tractability Andreas Krause, Daniel Golovin
2013	A*	`conf`	Ad click prediction: a view from the trenches. KDD H. Brendan McMahan, Gary Holt, David Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Phillips, Eugene Davydov, Daniel Golovin, Sharat Chikkerur, Dan Liu, Martin Wattenberg, Arnar Mar Hrafnkelsson, Tom Boulos, Jeremy Kubica
2013	J	`jnl`	Large-Scale Learning with Less RAM via Randomization CoRR Daniel Golovin, D. Sculley, H. Brendan McMahan, Michael Young
2013	—	`conf`	Large-Scale Learning with Less RAM via Randomization. ICML (2) Daniel Golovin, D. Sculley, H. Brendan McMahan, Michael Young
2011	A*	`conf`	A revealed preference approach to computational complexity in economics. EC Federico Echenique, Daniel Golovin, Adam Wierman
2011	J	`jnl`	Adaptive Submodular Optimization under Matroid Constraints CoRR Daniel Golovin, Andreas Krause
2011	J	`jnl`	Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization. J. Artif. Intell. Res. Daniel Golovin, Andreas Krause
2011	J	`jnl`	Complexity and economics: computational constraints may not matter empirically. SIGecom Exch. Federico Echenique, Daniel Golovin, Adam Wierman
2011	A*	`conf`	Dynamic Resource Allocation in Conservation Planning. AAAI Daniel Golovin, Andreas Krause, Beth Gardner, Sarah J. Converse, Steve Morey
2011	A*	`conf`	Randomized Sensing in Adversarial Environments. IJCAI Andreas Krause, Alex Roper, Daniel Golovin
2010	J	`jnl`	Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization CoRR Daniel Golovin, Andreas Krause
2010	A*	`conf`	Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization. COLT Daniel Golovin, Andreas Krause
2010	J	`jnl`	Near-Optimal Bayesian Active Learning with Noisy Observations CoRR Daniel Golovin, Andreas Krause, Debajyoti Ray
2010	—	`conf`	Near-Optimal Bayesian Active Learning with Noisy Observations. NIPS Daniel Golovin, Andreas Krause, Debajyoti Ray
2010	J	`jnl`	Online Distributed Sensor Selection CoRR Daniel Golovin, Matthew Faulkner, Andreas Krause
2010	—	`conf`	Online distributed sensor selection. IPSN Daniel Golovin, Matthew Faulkner, Andreas Krause
2010	J	`jnl`	The B-Skip-List: A Simpler Uniquely Represented Alternative to B-Trees CoRR Daniel Golovin
2009	—	`conf`	B-Treaps: A Uniquely Represented Alternative to B-Trees. ICALP (1) Daniel Golovin
2009	J	`jnl`	Online Learning of Assignments that Maximize Submodular Functions CoRR Daniel Golovin, Andreas Krause, Matthew J. Streeter
2009	—	`conf`	Online Learning of Assignments. NIPS Matthew J. Streeter, Daniel Golovin, Andreas Krause
2009	J	`jnl`	Simultaneous source location. ACM Trans. Algorithms Konstantin Andreev, Charles Garrod, Daniel Golovin, Bruce M. Maggs, Adam Meyerson
2008	—	`conf`	All-Norms and All-L_p-Norms Approximation Algorithms. FSTTCS Daniel Golovin, Anupam Gupta, Amit Kumar, Kanat Tangwongsan
2008	—	`conf`	An Online Algorithm for Maximizing Submodular Functions. NIPS Matthew J. Streeter, Daniel Golovin
2008	—	`conf`	Uniquely Represented Data Structures for Computational Geometry. SWAT Guy E. Blelloch, Daniel Golovin, Virginia Vassilevska
2007	A*	`conf`	Combining Multiple Heuristics Online. AAAI Matthew J. Streeter, Daniel Golovin, Stephen F. Smith
2007	J	`jnl`	More expressive market models and the future of combinatorial auctions. SIGecom Exch. Daniel Golovin
2007	A*	`conf`	Restart Schedules for Ensembles of Problem Instances. AAAI Matthew J. Streeter, Daniel Golovin, Stephen F. Smith
2007	A*	`conf`	Stochastic packing-market planning. EC Daniel Golovin
2007	A*	`conf`	Strongly History-Independent Hashing with Applications. FOCS Guy E. Blelloch, Daniel Golovin
2006	A*	`conf`	Approximating the SODA Daniel Golovin, Viswanath Nagarajan, Mohit Singh
2006	A	`conf`	Pay Today for a Rainy Day: Improved Approximation Algorithms for Demand-Robust Min-Cut and Shortest Path Problems. STACS Daniel Golovin, Vineet Goyal, R. Ravi
2006	A*	`conf`	Quorum placement in networks: minimizing network congestion. PODC Daniel Golovin, Anupam Gupta, Bruce M. Maggs, Florian Oprea, Michael K. Reiter