David Salinas
11 papers · 2016–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (9) π Cross-Pollinator (14)
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Conference Polyglot
(5)
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Academic Marathon
(9)
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Cross-Pollinator
(14)
π±
Topic Pioneer
π
Century Club
(11)
π
Trend Setter
Conferences
AUTOML (3)
ICML (3)
JMLR (2)
NIPS (2)
AISTATS (1)
Top co-authors
Keywords
quantile regression
(3)
time series forecasting
(2)
deep learning
(2)
hyperparameter optimization
(2)
recurrent neural network
(2)
transfer learning
(2)
time series
(2)
gaussian copula
(2)
low-rank approximation
(1)
gaussian process
(1)
bayesian optimization
(1)
hyperparameter tuning
(1)
multi-objective optimization
(1)
missing value imputation
(1)
multivariate time series
(1)
surrogate model
(1)
kalman smoothing
(1)
tabular datum
(1)
probabilistic forecasting
(1)
multi-fidelity optimization
(1)
Papers
Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimization
AUTOML 2025
Tuning LLM Judge Design Decisions for 1/1000 of the Cost
ICML 2025
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications
AUTOML 2024
Optimizing Hyperparameters with Conformal Quantile Regression
ICML 2023
Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research
AUTOML 2022
GluonTS: Probabilistic and Neural Time Series Modeling in Python
JMLR 2020
A Quantile-based Approach for Hyperparameter Transfer Learning
ICML 2020
Probabilistic Forecasting with Spline Quantile Function RNNs
AISTATS 2019
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes
NIPS 2019
DataWig: Missing Value Imputation for Tables
JMLR 2019
Bayesian Intermittent Demand Forecasting for Large Inventories
NIPS 2016