Classification with Costly Features as a Sequential Decision-Making Problem

5 September 2019

Papers citing "Classification with Costly Features as a Sequential Decision-Making Problem"

22 / 22 papers shown

Title
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings Henrik von Kleist Alireza Zamanian I. Shpitser Narges Ahmidi OffRL 189 3 0 03 Dec 2023
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams Mohammad Kachuee Orpaz Goldstein Kimmo Karkkainen Sajad Darabi Majid Sarrafzadeh OOD 55 31 0 02 Jan 2019
Classification with Costly Features using Deep Reinforcement Learning Jaromír Janisch Tomás Pevný Viliam Lisý OffRL 74 98 0 20 Nov 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 112 2,274 0 06 Oct 2017
Adaptive Classification for Prediction Under a Budget Feng Nan Venkatesh Saligrama 92 63 0 26 May 2017
Pruning Random Forests for Prediction on a Budget Feng Nan Joseph Wang Venkatesh Saligrama 67 70 0 16 Jun 2016
Safe and Efficient Off-Policy Reinforcement Learning Rémi Munos T. Stepleton Anna Harutyunyan Marc G. Bellemare OffRL 140 617 0 08 Jun 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 210 8,882 0 04 Feb 2016
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria Yinlam Chow Mohammad Ghavamzadeh Lucas Janson Marco Pavone 96 517 0 05 Dec 2015
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 93 3,771 0 20 Nov 2015
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction Joseph Wang K. Trapeznikov Venkatesh Saligrama 70 49 0 26 Oct 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 184 7,678 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 334 13,295 0 09 Sep 2015
Feature-Budgeted Random Forest Feng Nan Joseph Wang Venkatesh Saligrama AI4TS 64 57 0 20 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
Recurrent Models of Visual Attention Volodymyr Mnih N. Heess Alex Graves Koray Kavukcuoglu VLM 169 3,658 0 24 Jun 2014
Cost-Sensitive Tree of Classifiers Z. Xu Matt J. Kusner Kilian Q. Weinberger Minmin Chen 117 116 0 09 Oct 2012
The Greedy Miser: Learning under Test-time Budgets Z. Xu Kilian Q. Weinberger O. Chapelle 102 116 0 27 Jun 2012
Fast classification using sparse decision DAGs Djalel Benbouzid R. Busa-Fekete Balázs Kégl 65 69 0 27 Jun 2012
Integrating Learning from Examples into the Search for Diagnostic Policies V. Zubek Thomas G. Dietterich OffRL 77 17 0 09 Sep 2011
Datum-Wise Classification: A Sequential Approach to Sparsity Gabriel Dulac-Arnold Ludovic Denoyer Philippe Preux Patrick Gallinari 87 55 0 29 Aug 2011
Efficient Learning with Partially Observed Attributes Nicolò Cesa-Bianchi Shai Shalev-Shwartz Ohad Shamir 131 90 0 26 Apr 2010