Martin Wistuba
14 papers · 2019–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
🗺️ Taxonomy Completionist (30) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver
🏆
Grand Slam
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🗃️
Keyword Collector
(51)
Top co-authors
Research topics
Machine Learning
(14)
Optimization & Theory
(10)
Application Areas
(6)
Learning Types
(5)
Deep Learning
(4)
Artificial Intelligence
(3)
Computer Science
(2)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Applications
(2)
Architectures
(2)
Core Methods
(2)
Learning Paradigms
(2)
Optimization
(2)
Resources & Methods
(2)
Keywords
hyperparameter optimization
(9)
bayesian optimization
(4)
learning curve
(3)
neural architecture search
(3)
gaussian process
(3)
pipeline optimization
(2)
multi-fidelity optimization
(2)
early stopping
(2)
multi-armed bandit
(2)
neural network
(2)
automated machine learning
(2)
incremental learning
(1)
transfer learning
(1)
distributed learning
(1)
uncertainty quantification
(1)
variational inference
(1)
few-shot learning
(1)
embedding
(1)
resource allocation
(1)
online learning
(1)
Papers
Hyperband-based Bayesian Optimization for Black-box Prompt Selection
ICML 2025
PASHA: Efficient HPO and NAS with Progressive Resource Allocation
ICLR 2023
Scaling Laws for Hyperparameter Optimization
NeurIPS 2023
Variational Boosted Soft Trees
AISTATS 2023
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization
AAAI 2022
Memory Efficient Continual Learning with Transformers
NeurIPS 2022
Supervising the Multi-Fidelity Race of Hyperparameter Configurations
NeurIPS 2022
Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research
AutoML 2022
AutoText: An End-to-End AutoAI Framework for Text
AAAI 2021
Few-Shot Bayesian Optimization with Deep Kernel Surrogates
ICLR 2021
Hardware-Aware Neural Architecture Search: Survey and Taxonomy
IJCAI 2021
Searching for Machine Learning Pipelines Using a Context-Free Grammar
AAAI 2021
Learning to Rank Learning Curves
ICML 2020
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit
IJCAI 2019