Daniel Golovin
8 papers · 2008–2022 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Bronze
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(54)
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Venues
Top co-authors
Research topics
Keywords
submodular optimization
(3)
online learning
(3)
submodular function
(3)
black-box optimization
(2)
scheduling optimization
(1)
randomized rounding
(1)
sequential decision making
(1)
sequential testing
(1)
resource allocation
(1)
scheduling
(1)
experimental design
(1)
bayesian experimental design
(1)
generalized binary search
(1)
strongly convex objectives
(1)
sponsored search
(1)
no-regret analysis
(1)
bayesian active learning
(1)
adaptive submodularity
(1)
large-scale learning
(1)
assignment problem
(1)
Papers
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization
AutoML 2022
Gradientless Descent: High-Dimensional Zeroth-Order Optimization
ICLR 2020
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
ICML 2020
Hidden Technical Debt in Machine Learning Systems
NeurIPS 2015
Large-Scale Learning with Less RAM via Randomization
ICML 2013
Near-Optimal Bayesian Active Learning with Noisy Observations
NeurIPS 2010
Online Learning of Assignments
NeurIPS 2009
An Online Algorithm for Maximizing Submodular Functions
NeurIPS 2008