David Holzmüller
8 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (8) 🗺️ Taxonomy Completionist (15) 🧭 Keyword Pioneer
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Unstoppable
(5)
Conferences
JMLR (3)
ICLR (2)
NIPS (2)
ICML (1)
Top co-authors
Keywords
neural network
(2)
neural tangent kernel
(2)
deep learning theory
(1)
gaussian process
(1)
gradient descent
(1)
gradient boosting
(1)
gibbs distribution
(1)
hyperparameter tuning
(1)
batch active learning
(1)
relu activation
(1)
benign overfitting
(1)
neural network regression
(1)
multilayer perceptron
(1)
gradient boosted tree
(1)
tabular datum
(1)
relu network
(1)
sampling algorithm
(1)
local minimum
(1)
kernel methods
(1)
log-partition estimation
(1)
Papers
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
JMLR 2025
Active Learning for Neural PDE Solvers
ICLR 2025
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
ICML 2025
Better by default: Strong pre-tuned MLPs and boosted trees on tabular data
NIPS 2024
A Framework and Benchmark for Deep Batch Active Learning for Regression
JMLR 2023
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
NIPS 2023
Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
JMLR 2022
On the Universality of the Double Descent Peak in Ridgeless Regression
ICLR 2021