Refined bounds for algorithm configuration: The knife-edge of dual class approximability

21 June 2020

Papers citing "Refined bounds for algorithm configuration: The knife-edge of dual class approximability"

13 / 13 papers shown

Title
Learning to Link Maria-Florina Balcan Travis Dick Manuel Lang 40 25 0 01 Jul 2019
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees Maria-Florina Balcan Tuomas Sandholm Ellen Vitercik 36 16 0 26 May 2019
Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration Robert D. Kleinberg Kevin Leyton-Brown Brendan Lucier Devon R. Graham 30 20 0 14 Feb 2019
Data-Driven Clustering via Parameterized Lloyd's Families Maria-Florina Balcan Travis Dick Colin White 23 37 0 19 Sep 2018
LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration Gellert Weisz András Gyorgy Csaba Szepesvári 35 35 0 02 Jul 2018
Learning to Branch Maria-Florina Balcan Travis Dick Tuomas Sandholm Ellen Vitercik 51 174 0 27 Mar 2018
Dispersion for Data-Driven Algorithm Design, Online Learning, and Private Optimization Maria-Florina Balcan Travis Dick Ellen Vitercik 59 75 0 08 Nov 2017
Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems Maria-Florina Balcan Vaishnavh Nagarajan Ellen Vitercik Colin White 45 62 0 14 Nov 2016
A PAC Approach to Application-Specific Algorithm Selection Rishi Gupta Tim Roughgarden 55 117 0 23 Nov 2015
ParamILS: An Automatic Algorithm Configuration Framework Frank Hutter Thomas Stuetzle Kevin Leyton-Brown T. Stützle 83 1,068 0 15 Jan 2014
DASH: Dynamic Approach for Switching Heuristics G. D. Liberto Serdar Kadioğlu Kevin Leo Y. Malitsky 62 58 0 17 Jul 2013
A Bayesian Approach to Tackling Hard Computational Problems Eric Horvitz Yongshao Ruan Carla P. Gomes Henry A. Kautz B. Selman D. M. Chickering 65 149 0 10 Jan 2013
Learning From An Optimization Viewpoint Karthik Sridharan 63 25 0 18 Apr 2012