Daniel Golovin
8 papers · 2008–2022 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (14)
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(14)
🌟
Keyword Trendsetter Combo
(3)
🌱
Topic Pioneer
📈
Trend Setter
🚀
Conference Pioneer
Conferences
NIPS (4)
ICML (2)
AUTOML (1)
ICLR (1)
Top co-authors
Keywords
submodular function
(3)
submodular optimization
(3)
online learning
(2)
sequential decision making
(1)
scheduling optimization
(1)
randomized rounding
(1)
assignment problem
(1)
experimental design
(1)
resource allocation
(1)
scheduling
(1)
sequential testing
(1)
no-regret analysis
(1)
sponsored search
(1)
bayesian active learning
(1)
adaptive submodularity
(1)
large-scale learning
(1)
software engineering
(1)
bayesian optimization
(1)
thompson sampling
(1)
transfer learning
(1)
Papers
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization
AUTOML 2022
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
ICML 2020
Gradientless Descent: High-Dimensional Zeroth-Order Optimization
ICLR 2020
Hidden Technical Debt in Machine Learning Systems
NIPS 2015
Large-Scale Learning with Less RAM via Randomization
ICML 2013
Near-Optimal Bayesian Active Learning with Noisy Observations
NIPS 2010
Online Learning of Assignments
NIPS 2009
An Online Algorithm for Maximizing Submodular Functions
NIPS 2008