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2002.05522
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BRPO: Batch Residual Policy Optimization
International Joint Conference on Artificial Intelligence (IJCAI), 2020
8 February 2020
Kentaro Kanamori
Yinlam Chow
Takuya Takagi
Hiroki Arimura
Honglak Lee
Ken Kobayashi
Craig Boutilier
OffRL
Re-assign community
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Papers citing
"BRPO: Batch Residual Policy Optimization"
30 / 30 papers shown
Learning Decision Trees and Forests with Algorithmic Recourse
Kentaro Kanamori
Takuya Takagi
Ken Kobayashi
Yuichi Ike
335
4
0
03 Jun 2024
Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms
Ao Xu
Tieru Wu
275
1
0
31 May 2024
Optimization Over Trained Neural Networks: Taking a Relaxing Walk
Jiatai Tong
Junyang Cai
Thiago Serra
409
15
0
07 Jan 2024
Computational Tradeoffs of Optimization-Based Bound Tightening in ReLU Networks
Fabian Badilla
Marcos Goycoolea
Gonzalo Muñoz
Thiago Serra
337
8
0
27 Dec 2023
Explainable History Distillation by Marked Temporal Point Process
Sishun Liu
Ke Deng
Yan Wang
Xiuzhen Zhang
247
0
0
13 Nov 2023
Generating collective counterfactual explanations in score-based classification via mathematical optimization
E. Carrizosa
Jasone Ramírez-Ayerbe
Dolores Romero Morales
242
29
0
19 Oct 2023
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations
International Conference on Machine Learning (ICML), 2023
Dan Ley
Saumitra Mishra
Daniele Magazzeni
LRM
381
27
0
26 May 2023
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
International Conference on Machine Learning (ICML), 2023
Faisal Hamman
Erfaun Noorani
Saumitra Mishra
Daniele Magazzeni
Sanghamitra Dutta
OOD
AAML
339
53
0
19 May 2023
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Yilun Zhou
312
0
0
17 Mar 2023
Explainable Data-Driven Optimization: From Context to Decision and Back Again
International Conference on Machine Learning (ICML), 2023
Alexandre Forel
Axel Parmentier
Thibaut Vidal
345
15
0
24 Jan 2023
Bayesian Hierarchical Models for Counterfactual Estimation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Natraj Raman
Daniele Magazzeni
Sameena Shah
177
7
0
21 Jan 2023
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ
Artificial Intelligence (AI), 2022
Eoin Delaney
A. Pakrashi
Derek Greene
Markt. Keane
271
24
0
16 Dec 2022
Counterfactual Explanations Using Optimization With Constraint Learning
Donato Maragno
Tabea E. Rober
Ilker Birbil
CML
347
13
0
22 Sep 2022
Formalising the Robustness of Counterfactual Explanations for Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2022
Junqi Jiang
Francesco Leofante
Antonio Rago
Francesca Toni
AAML
360
33
0
31 Aug 2022
Robust Counterfactual Explanations for Tree-Based Ensembles
International Conference on Machine Learning (ICML), 2022
Sanghamitra Dutta
Jason Long
Saumitra Mishra
Cecilia Tilli
Daniele Magazzeni
337
71
0
06 Jul 2022
Global Counterfactual Explanations: Investigations, Implementations and Improvements
Dan Ley
Saumitra Mishra
Daniele Magazzeni
LRM
266
15
0
14 Apr 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
ACM Computing Surveys (ACM CSUR), 2022
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELM
XAI
716
596
0
20 Jan 2022
Counterfactual Shapley Additive Explanations
Emanuele Albini
Jason Long
Danial Dervovic
Daniele Magazzeni
558
67
0
27 Oct 2021
Offline Reinforcement Learning with Soft Behavior Regularization
Haoran Xu
Xianyuan Zhan
Jianxiong Li
Honglei Yin
OffRL
148
34
0
14 Oct 2021
CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations
P. Rasouli
Ingrid Chieh Yu
134
32
0
18 Aug 2021
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions
Eoin Delaney
Derek Greene
Mark T. Keane
225
29
0
20 Jul 2021
A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data
Applied Sciences (AS), 2021
Raphael Mazzine
David Martens
226
37
0
09 Jul 2021
Optimal Counterfactual Explanations in Tree Ensembles
International Conference on Machine Learning (ICML), 2021
Axel Parmentier
Thibaut Vidal
207
63
0
11 Jun 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Mark T. Keane
Eoin M. Kenny
Eoin Delaney
Barry Smyth
CML
331
170
0
26 Feb 2021
Benchmarking and Survey of Explanation Methods for Black Box Models
Data mining and knowledge discovery (DMKD), 2021
F. Bodria
F. Giannotti
Riccardo Guidotti
Francesca Naretto
D. Pedreschi
S. Rinzivillo
XAI
410
289
0
25 Feb 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Ana Lucic
Maartje ter Hoeve
Gabriele Tolomei
Maarten de Rijke
Fabrizio Silvestri
586
179
0
05 Feb 2021
A Survey on Neural Network Interpretability
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2020
Yu Zhang
Peter Tiño
A. Leonardis
Shengcai Liu
FaML
XAI
601
851
0
28 Dec 2020
Scaling Guarantees for Nearest Counterfactual Explanations
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020
Kiarash Mohammadi
Amir-Hossein Karimi
Gilles Barthe
Isabel Valera
LRM
209
38
0
10 Oct 2020
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
T. Matsushima
Hiroki Furuta
Y. Matsuo
Ofir Nachum
S. Gu
OffRL
333
166
0
05 Jun 2020
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
AAAI Conference on Artificial Intelligence (AAAI), 2019
Ana Lucic
Harrie Oosterhuis
H. Haned
Maarten de Rijke
LRM
505
83
0
27 Nov 2019
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