Hard Shape-Constrained Kernel Machines

26 May 2020

Papers citing "Hard Shape-Constrained Kernel Machines"

13 / 13 papers shown

Title
Exploiting Concavity Information in Gaussian Process Contextual Bandit Optimization Kevin Li Eric Laber 48 0 0 13 Mar 2025
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport Tianyi Lin Marco Cuturi Michael I. Jordan OT 36 0 0 21 Oct 2023
A Convex Framework for Confounding Robust Inference Kei Ishikawa Naio He Takafumi Kanamori OffRL 17 0 0 21 Sep 2023
Kernel Conditional Moment Constraints for Confounding Robust Inference Kei Ishikawa Niao He OffRL 19 3 0 26 Feb 2023
Linear Partial Monitoring for Sequential Decision-Making: Algorithms, Regret Bounds and Applications Johannes Kirschner Tor Lattimore Andreas Krause 16 8 0 07 Feb 2023
Approximation of optimization problems with constraints through kernel Sum-Of-Squares Pierre-Cyril Aubin-Frankowski Alessandro Rudi 18 1 0 16 Jan 2023
On Controller Tuning with Time-Varying Bayesian Optimization Paul Brunzema Alexander von Rohr Sebastian Trimpe 15 17 0 22 Jul 2022
Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing Patrick Link Miltiadis Poursanidis J. Schmid Rebekka Zache Martin von Kurnatowski U. Teicher S. Ihlenfeldt 14 16 0 04 Feb 2022
Using Shape Constraints for Improving Symbolic Regression Models C. Haider F. O. França Bogdan Burlacu G. Kronberger 9 6 0 20 Jul 2021
A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation A. Vacher Boris Muzellec Alessandro Rudi Francis R. Bach François-Xavier Vialard OT 22 26 0 13 Jan 2021
Handling Hard Affine SDP Shape Constraints in RKHSs Pierre-Cyril Aubin-Frankowski Z. Szabó 21 7 0 05 Jan 2021
Sparse Representations of Positive Functions via First and Second-Order Pseudo-Mirror Descent A. Chakraborty K. Rajawat Alec Koppel 11 3 0 13 Nov 2020
Least squares estimation in the monotone single index model F. Balabdaoui C. Durot H. Jankowski 40 45 0 19 Oct 2016