Steinwart, Ingo
- Better by Default: Strong Pre-Tuned MLPs and Boosted Trees on Tabular Data
2024/07/05 by David Holzmüller, Holzmüller, David, Léo Grinsztajn +3 · 4 voices · 14 citations
#cs.LG
- Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers
2022/12/23 by Marvin Pförtner, Ingo Steinwart, Pförtner, Marvin +5 · 11 citations
Computer Science · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
- Strictly proper kernel scores and characteristic kernels on compact\n spaces
2017/12/14 by Ingo Steinwart, Johanna F. Ziegel, Steinwart, Ingo +1 · 4 citations
Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Functional Analysis (math.FA) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistics Theory (math.ST)
- Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
2023/05/23 by Moritz Haas, David Holzmüller, Haas, Moritz +5 · 4 citations
Computer Science · Materials Science · Physics and Astronomy · #Neural Networks and Applications #Machine Learning in Materials Science #Model Reduction and Neural Networks
- An SVM-like Approach for Expectile Regression
2015/07/14 by Farooq, Muhammad, Steinwart, Ingo · 2 citations
#Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML)
- Adaptive Learning Rates for Support Vector Machines Working on Data with Low Intrinsic Dimension
2020/03/13 by Thomas Hamm, Ingo Steinwart, Hamm, Thomas +1 · 2 citations
Computer Science · #Machine Learning and Data Classification #Gaussian Processes and Bayesian Inference #Face and Expression Recognition
- Learning theory estimates with observations from general stationary stochastic processes
2016/05/10 by Hang, Hanyuan, Feng, Yunlong, Steinwart, Ingo +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Short Note on the Comparison of Interpolation Widths, Entropy Numbers,\n and Kolmogorov Widths
2016/06/17 by Ingo Steinwart, Steinwart, Ingo · 1 citation
Engineering · Mathematics · #41A15 #41A30 #41A45 #41A46 #46E35 #Advanced Numerical Analysis Techniques #FOS: Mathematics #Functional Analysis (math.FA) #Mathematical Approximation and Integration #Numerical Analysis (math.NA) #Numerical methods in inverse problems
- Which Spaces can be Embedded in Reproducing Kernel Hilbert Spaces?
2023/12/22 by Max Schölpple, Ingo Steinwart, Schölpple, Max +1 · 1 citation
Economics, Econometrics and Finance · Mathematics · #Advanced Banach Space Theory #FOS: Mathematics #Functional Analysis (math.FA) #Mathematical Analysis and Transform Methods #Statistics Theory (math.ST) #Stochastic processes and financial applications