Yexiang Xue - RankMe

112 papers A* 32A 10B 9C 2Misc 1Journal 48Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching. AAAI Nan Jiang, Md. Nasim, Yexiang Xue
2025	J	`jnl`	An Exact Solver for Satisfiability Modulo Counting with Probabilistic Circuits. CoRR Jinzhao Li, Nan Jiang, Yexiang Xue
2025	J	`jnl`	CALM: Contextual Analog Logic with Multimodality. CoRR Maxwell J. Jacobson, Corey J. Maley, Yexiang Xue
2025	J	`jnl`	EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph. CoRR Nan Jiang, Ziyi Wang, Yexiang Xue
2025	A*	`conf`	Integrating Symbolic Reasoning into Neural Generative Models for Design Generation. AAAI Maxwell J. Jacobson, Yexiang Xue
2025	J	`jnl`	Integrating symbolic reasoning into neural generative models for design generation. Artif. Intell. Maxwell J. Jacobson, Yexiang Xue
2025	A*	`conf`	Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits. ICML Jinzhao Li, Nan Jiang, Yexiang Xue
2024	J	`jnl`	A Tighter Convergence Proof of Reverse Experience Replay. RLJ Nan Jiang, Jinzhao Li, Yexiang Xue
2024	J	`jnl`	A Tighter Convergence Proof of Reverse Experience Replay. CoRR Nan Jiang, Jinzhao Li, Yexiang Xue
2024	J	`jnl`	Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching. CoRR Nan Jiang, Md. Nasim, Yexiang Xue
2024	A*	`conf`	Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains. AAAI Md. Nasim, Yexiang Xue
2024	A*	`conf`	End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning. AAAI Md. Nasim, Xinghang Zhang, Anter El-Azab, Yexiang Xue
2024	—	`conf`	Natural Language-based State Representation in Deep Reinforcement Learning. NAACL-HLT (Findings) Md Masudur Rahman, Yexiang Xue
2024	A*	`conf`	Racing Control Variable Genetic Programming for Symbolic Regression. AAAI Nan Jiang, Yexiang Xue
2024	A*	`conf`	Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees. AAAI Jinzhao Li, Nan Jiang, Yexiang Xue
2024	A*	`conf`	Vertical Symbolic Regression via Deep Policy Gradient. IJCAI Nan Jiang, Md. Nasim, Yexiang Xue
2024	J	`jnl`	Vertical Symbolic Regression via Deep Policy Gradient. CoRR Nan Jiang, Md. Nasim, Yexiang Xue
2023	J	`jnl`	Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning. CoRR Md. Masudur Rahman, Yexiang Xue
2023	J	`jnl`	Adversarial Policy Optimization in Deep Reinforcement Learning. CoRR Md. Masudur Rahman, Yexiang Xue
2023	J	`jnl`	Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning. CoRR Md. Masudur Rahman, Yexiang Xue
2023	J	`jnl`	Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains. CoRR Md. Nasim, Yexiang Xue
2023	J	`jnl`	End-to-end Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning. CoRR Md. Nasim, Anter El-Azab, Xinghang Zhang, Yexiang Xue
2023	J	`jnl`	Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation. CoRR Maxwell Joseph Jacobson, Yexiang Xue
2023	J	`jnl`	Integrating Symbolic Reasoning into Neural Generative Models for Design Generation. CoRR Maxwell Joseph Jacobson, Yexiang Xue
2023	A*	`conf`	Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma. AAAI Nan Jiang, Yi Gu, Yexiang Xue
2023	A	`conf`	Provable Optimization of Quantal Response Leader-Follower Games with Exponentially Large Action Spaces. AAMAS Jinzhao Li, Daniel Fink, Christopher Wood, Carla P. Gomes, Yexiang Xue
2023	J	`jnl`	Racing Control Variable Genetic Programming for Symbolic Regression. CoRR Nan Jiang, Yexiang Xue
2023	J	`jnl`	Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration With Provable Guarantees. CoRR Jinzhao Li, Nan Jiang, Yexiang Xue
2023	—	`conf`	Symbolic Regression via Control Variable Genetic Programming. ECML/PKDD (4) Nan Jiang, Yexiang Xue
2023	J	`jnl`	Symbolic Regression via Control Variable Genetic Programming. CoRR Nan Jiang, Yexiang Xue
2023	J	`jnl`	Vertical Symbolic Regression. CoRR Nan Jiang, Md. Nasim, Yexiang Xue
2022	J	`jnl`	Boosting single-cell gene regulatory network reconstruction via bulk-cell transcriptomic data. Briefings Bioinform. Hantao Shu, Fan Ding, Jingtian Zhou, Yexiang Xue, Dan Zhao, Jianyang Zeng, Jianzhu Ma
2022	C	`conf`	Bootstrap Advantage Estimation for Policy Optimization in Reinforcement Learning. ICMLA Md. Masudur Rahman, Yexiang Xue
2022	J	`jnl`	Bootstrap Advantage Estimation for Policy Optimization in Reinforcement Learning. CoRR Md. Masudur Rahman, Yexiang Xue
2022	—	`conf`	Bootstrap State Representation Using Style Transfer for Better Generalization in Deep Reinforcement Learning. ECML/PKDD (4) Md. Masudur Rahman, Yexiang Xue
2022	J	`jnl`	Bootstrap State Representation using Style Transfer for Better Generalization in Deep Reinforcement Learning. CoRR Md. Masudur Rahman, Yexiang Xue
2022	J	`jnl`	Constraint Reasoning Embedded Structured Prediction. J. Mach. Learn. Res. Nan Jiang, Maosen Zhang, Willem-Jan van Hoeve, Yexiang Xue
2022	A	`conf`	Efficient learning of sparse and decomposable PDEs using random projection. UAI Md. Nasim, Xinghang Zhang, Anter El-Azab, Yexiang Xue
2022	J	`jnl`	Human-centered XAI for Burn Depth Characterization. CoRR Maxwell J. Jacobson, Daniela Chanci Arrubla, Maria Romeo Tricas, Gayle Gordillo, Yexiang Xue, Chandan K. Sen, Juan P. Wachs
2022	J	`jnl`	Learning Combinatorial Structures via Markov Random Fields with Sampling through Lovász Local Lemma. CoRR Nan Jiang, Yi Gu, Yexiang Xue
2022	A*	`conf`	Massive Text Normalization via an Efficient Randomized Algorithm. WWW Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue
2022	J	`jnl`	On the Value of Behavioral Representations for Dense Retrieval. CoRR Nan Jiang, Dhivya Eswaran, Choon Hui Teo, Yexiang Xue, Yesh Dattatreya, Sujay Sanghavi, Vishy Vishwanathan
2022	J	`jnl`	Provable Constrained Stochastic Convex Optimization with XOR-Projected Gradient Descent. CoRR Fan Ding, Yijie Wang, Jianzhu Ma, Yexiang Xue
2022	J	`jnl`	Robust Policy Optimization in Deep Reinforcement Learning. CoRR Md. Masudur Rahman, Yexiang Xue
2022	B	`conf`	Task Detection in Continual Learning via Familiarity Autoencoders. SMC Maxwell J. Jacobson, Case Q. Wright, Nan Jiang, Gustavo Rodriguez-Rivera, Yexiang Xue
2022	J	`jnl`	X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement Learning. CoRR Fan Ding, Yexiang Xue
2022	A	`conf`	X-MEN: guaranteed XOR-maximum entropy constrained inverse reinforcement learning. UAI Fan Ding, Yexiang Xue
2021	J	`jnl`	A Fast Randomized Algorithm for Massive Text Normalization. CoRR Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue
2021	A*	`conf`	DESERTS: DElay-tolerant SEmi-autonomous Robot Teleoperation for Surgery. ICRA Glebys T. Gonzalez, Mridul Agarwal, Mythra V. Balakuntala, Md. Masudur Rahman, Upinder Kaur, Richard M. Voyles, Vaneet Aggarwal, Yexiang Xue, Juan P. Wachs
2021	B	`conf`	Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic Surgery. RO-MAN Mridul Agarwal, Glebys T. Gonzalez, Mythra V. Balakuntala, Md. Masudur Rahman, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs
2021	A*	`conf`	LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning. NeurIPS Chonghao Sima, Yexiang Xue
2021	A	`conf`	PALM: Probabilistic area loss Minimization for Protein Sequence Alignment. UAI Fan Ding, Nan Jiang, Jianzhu Ma, Jian Peng, Jinbo Xu, Yexiang Xue
2021	—	`conf`	Physics Knowledge Discovery via Neural Differential Equation Embedding. ECML/PKDD (5) Yexiang Xue, Md. Nasim, Maosen Zhang, Cuncai Fan, Xinghang Zhang, Anter El-Azab
2021	J	`jnl`	SARTRES: a semi-autonomous robot teleoperation environment for surgery. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Md. Masudur Rahman, Mythra V. Balakuntala, Glebys T. Gonzalez, Mridul Agarwal, Upinder Kaur, Vishnunandan L. N. Venkatesh, Natalia Sanchez-Tamayo, Yexiang Xue, Richard M. Voyles, Vaneet Aggarwal, Juan P. Wachs
2021	B	`conf`	Sequential Prediction with Logic Constraints for Surgical Robotic Activity Recognition. RO-MAN Md. Masudur Rahman, Richard M. Voyles, Juan P. Wachs, Yexiang Xue
2021	A*	`conf`	XOR-CD: Linearly Convergent Constrained Structure Generation. ICML Fan Ding, Jianzhu Ma, Jinbo Xu, Yexiang Xue
2021	A	`conf`	XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty. UAI Fan Ding, Yexiang Xue
2020	—	`conf`	Constraint Satisfaction Driven Natural Language Generation: A Tree Search Embedded MCMC Approach. EMNLP (Findings) Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue
2020	—	`conf`	Contrastive Divergence Learning with Chained Belief Propagation. PGM Fan Ding, Yexiang Xue
2020	A*	`conf`	Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation. IJCAI Pramith Devulapalli, Bistra Dilkina, Yexiang Xue
2020	J	`jnl`	From the DESK (Dexterous Surgical Skill) to the Battlefield - A Robotics Exploratory Study. CoRR Glebys T. Gonzalez, Upinder Kaur, Masudur Rahma, Vishnunandan Venkatesh, Natalia Sanchez, Gregory D. Hager, Yexiang Xue, Richard M. Voyles, Juan P. Wachs
2020	J	`jnl`	Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach. CoRR Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue
2020	A	`conf`	Towards Efficient Discrete Integration via Adaptive Quantile Queries. ECAI Fan Ding, Hanjing Wang, Ashish Sabharwal, Yexiang Xue
2019	J	`jnl`	AdaWISH: Faster Discrete Integration via Adaptive Quantiles. CoRR Fan Ding, Hanjing Wang, Ashish Sabharwal, Yexiang Xue
2019	C	`conf`	CPU-accelerated principal-agent game for scalable citizen science. COMPASS Anmol Kabra, Yexiang Xue, Carla P. Gomes
2019	J	`jnl`	Computational sustainability: computing for a better world and a sustainable future. Commun. ACM Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman
2019	A	`conf`	DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots. IROS Naveen Madapana, Thomas Low, Richard M. Voyles, Yexiang Xue, Juan P. Wachs, Md. Masudur Rahman, Natalia Sanchez-Tamayo, Mythra V. Balakuntala, Glebys T. Gonzalez, Jyothsna Padmakumar Bindu, L. N. Vishnunandan Venkatesh, Xingguang Zhang, Juan Barragan Noguera
2019	J	`jnl`	DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots. CoRR Naveen Madapana, Md. Masudur Rahman, Natalia Sanchez-Tamayo, Mythra V. Balakuntala, Glebys T. Gonzalez, Jyothsna Padmakumar Bindu, L. N. Vishnunandan Venkatesh, Xingguang Zhang, Juan Barragan Noguera, Thomas Low, Richard M. Voyles, Yexiang Xue, Juan P. Wachs
2019	B	`conf`	Embedding Decision Diagrams into Generative Adversarial Networks. CPAIOR Yexiang Xue, Willem-Jan van Hoeve
2019	Misc	`conf`	Imitation Refinement for X-ray Diffraction Signal Processing. ICASSP Junwen Bai, Zihang Lai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes
2019	A*	`conf`	Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks. IJCAI Jinning Li, Yexiang Xue
2019	B	`conf`	Transferring Dexterous Surgical Skill Knowledge between Robots for Semi-autonomous Teleoperation. RO-MAN Md. Masudur Rahman, Natalia Sanchez-Tamayo, Glebys T. Gonzalez, Mridul Agarwal, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs
2018	A	`conf`	Adaptive Stratified Sampling for Precision-Recall Estimation. UAI Ashish Sabharwal, Yexiang Xue
2018	B	`conf`	Boosting Efficiency for Computing the Pareto Frontier on Tree Structured Networks. CPAIOR Jonathan Michael Gomes Selman, Qinru Shi, Yexiang Xue, Roosevelt García-Villacorta, Alexander S. Flecker, Carla P. Gomes
2018	—	`—`	Combining Reasoning and Learning for Multi-stage Inference in Computational Sustainability and Scientific Discovery. Yexiang Xue
2018	A*	`conf`	Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin. AAAI Xiaojian Wu, Jonathan Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt García-Villacorta, Elizabeth Anderson, Suresh Sethi, Scott Steinschneider, Alexander Flecker, Carla P. Gomes
2018	A*	`conf`	End-to-End Learning for the Deep Multivariate Probit Model. ICML Di Chen, Yexiang Xue, Carla P. Gomes
2018	J	`jnl`	End-to-End Learning for the Deep Multivariate Probit Model. CoRR Di Chen, Yexiang Xue, Carla P. Gomes
2018	A*	`conf`	Expanding Holographic Embeddings for Knowledge Completion. NeurIPS Yexiang Xue, Yang Yuan, Zhitian Xu, Ashish Sabharwal
2018	J	`jnl`	Imitation Refinement. CoRR Junwen Bai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes
2018	A*	`conf`	Multi-Entity Dependence Learning With Rich Context via Conditional Variational Auto-Encoder. AAAI Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes
2018	J	`jnl`	Phase Mapper: Accelerating Materials Discovery with AI. AI Mag. Junwen Bai, Yexiang Xue, Johan Bjorck, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes
2018	A*	`conf`	Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks. AAAI Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark C. Whitmore, Carla P. Gomes
2017	A*	`conf`	Deep Multi-species Embedding. IJCAI Di Chen, Yexiang Xue, Daniel Fink, Shuo Chen, Carla P. Gomes
2017	A*	`conf`	Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information. AAAI Yexiang Xue, Xiaojian Wu, Dana Morin, Bistra Dilkina, Angela Fuller, J. Andrew Royle, Carla P. Gomes
2017	J	`jnl`	Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder. CoRR Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes
2017	A*	`conf`	Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. AAAI Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes
2017	B	`conf`	Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery. CPAIOR Junwen Bai, Johan Bjorck, Yexiang Xue, Santosh K. Suram, John M. Gregoire, Carla P. Gomes
2017	J	`jnl`	Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Network. CoRR Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark C. Whitmore, Carla P. Gomes
2017	A*	`conf`	XOR-Sampling for Network Design with Correlated Stochastic Events. IJCAI Xiaojian Wu, Yexiang Xue, Bart Selman, Carla P. Gomes
2017	J	`jnl`	XOR-Sampling for Network Design with Correlated Stochastic Events. CoRR Xiaojian Wu, Yexiang Xue, Bart Selman, Carla P. Gomes
2016	A	`conf`	Avicaching: A Two Stage Game for Bias Reduction in Citizen Science. AAMAS Yexiang Xue, Ian Davies, Daniel Fink, Christopher Wood, Carla P. Gomes
2016	A	`conf`	Behavior Identification in Two-Stage Games for Incentivizing Citizen Science Exploration. CP Yexiang Xue, Ian Davies, Daniel Fink, Christopher Wood, Carla P. Gomes
2016	J	`jnl`	Deep Multi-Species Embedding. CoRR Di Chen, Yexiang Xue, Shuo Chen, Daniel Fink, Carla P. Gomes
2016	J	`jnl`	Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. CoRR Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes
2016	—	`conf`	Solving Marginal MAP Problems with NP Oracles and Parity Constraints. NIPS Yexiang Xue, Zhiyuan Li, Stefano Ermon, Carla P. Gomes, Bart Selman
2016	J	`jnl`	Solving Marginal MAP Problems with NP Oracles and Parity Constraints. CoRR Yexiang Xue, Zhiyuan Li, Stefano Ermon, Carla P. Gomes, Bart Selman
2016	A*	`conf`	Variable Elimination in the Fourier Domain. ICML Yexiang Xue, Stefano Ermon, Ronan Le Bras, Carla P. Gomes, Bart Selman
2015	A*	`conf`	Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa. AAAI Stefano Ermon, Yexiang Xue, Russell Toth, Bistra Dilkina, Richard Bernstein, Theodoros Damoulas, Patrick E. Clark, Steve DeGloria, Andrew Mude, Christopher Barrett, Carla P. Gomes
2015	—	`conf`	Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem. AAAI Workshop: Computational Sustainability Yexiang Xue, Stefano Ermon, Carla P. Gomes, Bart Selman
2015	A*	`conf`	Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem: Application to Materials Discovery. IJCAI Yexiang Xue, Stefano Ermon, Carla P. Gomes, Bart Selman
2015	J	`jnl`	Variable Elimination in Fourier Domain. CoRR Yexiang Xue, Stefano Ermon, Ronan Le Bras, Carla P. Gomes, Bart Selman
2014	B	`conf`	A Human Computation Framework for Boosting Combinatorial Solvers. HCOMP Ronan Le Bras, Yexiang Xue, Richard Bernstein, Carla P. Gomes, Bart Selman
2014	A*	`conf`	Travel time estimation of a path using sparse trajectories. KDD Yilun Wang, Yu Zheng, Yexiang Xue
2014	A*	`conf`	Uncovering Hidden Structure through Parallel Problem Decomposition. AAAI Yexiang Xue, Stefano Ermon, Carla P. Gomes, Bart Selman
2013	B	`conf`	Improving Your Chances: Boosting Citizen Science Discovery. HCOMP Yexiang Xue, Bistra Dilkina, Theodoros Damoulas, Daniel Fink, Carla P. Gomes, Steve Kelling
2013	A*	`conf`	Large Landscape Conservation - Synthetic and Real-World Datasets. AAAI Bistra Dilkina, Katherine J. Lai, Ronan LeBras, Yexiang Xue, Carla P. Gomes, Ashish Sabharwal, Jordan Suter, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery
2013	J	`jnl`	Learning policies for battery usage optimization in electric vehicles. Mach. Learn. Stefano Ermon, Yexiang Xue, Carla P. Gomes, Bart Selman
2013	A*	`conf`	Robust Network Design For Multispecies Conservation. AAAI Ronan LeBras, Bistra Dilkina, Yexiang Xue, Carla P. Gomes, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery
2012	A*	`conf`	Basing Decisions on Sentences in Decision Diagrams. AAAI Yexiang Xue, Arthur Choi, Adnan Darwiche
2012	—	`conf`	Learning Policies for Battery Usage Optimization in Electric Vehicles. ECML/PKDD (2) Stefano Ermon, Yexiang Xue, Carla P. Gomes, Bart Selman
2012	J	`jnl`	Same-decision probability: A confidence measure for threshold-based decisions. Int. J. Approx. Reason. Arthur Choi, Yexiang Xue, Adnan Darwiche