The 31st Uncertainty in Artificial Intelligence Conference: Preface

Marina Meila, Tom Heskes
Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence, PMLR R13:1-8, 2015.

Abstract

vii Organizing Committee ix Acknowledgments xi Sponsors xix Best Paper Awards xxi 1 Proceedings 1 Bayesian Optimal Control of Smoothly Parameterized Systems. Yasin Abbasi-Yadkori, Csaba Szepesvári . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Optimal expert elicitation to reduce interval uncertainty. Nadia Ben Abdallah, Sébastien Destercke . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Stochastic Integration via Error-Correcting Codes. Dimitris Achlioptas, Pei Jiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 Learning the Structure of Sum-Product Networks via an SVD-based Algorithm. Tameem Adel, David Balduzzi, Ali Ghodsi . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 Robust reconstruction of causal graphical models based on conditional 2-point and 3-point information. Séverine Affeldt, Hervé Isambert . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models. Stefano V. Albrecht, Subramanian Ramamoorthy . . . . . . . . . . . . . . . . . . . . . . . 52 Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization. Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen Boyd . . . . . . . . . . . . . . . . . . 62 Intelligent Affect: Rational Decision Making for Socially Aligned Agents. Nabiha Asghar, Jesse Hoey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 Representation Learning for Clustering: A Statistical Framework. Hassan Ashtiani, Shai Ben-David . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 Adversarial Cost-Sensitive Classification. Kaiser Asif, Wei Xing, Sima Behpour, Brian D. Ziebart . . . . . . . . . . . . . . . . . . . 92 Geometric Network Comparisons. Dena Marie Asta, Cosma Rohilla Shalizi . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 Learning and Planning with Timing Information in Markov Decision Processes. Pierre-Luc Bacon, Borja Balle, Doina Precup . . . . . . . . . . . . . . . . . . . . . . . . . 111 Parameterizing the Distance Distribution of Undirected Networks. Christian Bauckhage, Kristian Kersting, Fabian Hadiji . . . . . . . . . . . . . . . . . . . 121 New Limits for Knowledge Compilation and Applications to Exact Model Counting. Paul Beame, Vincent Liew . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131 Hashing-Based Approximate Probabilistic Inference in Hybrid Domains. Vaishak Belle, Guy Van d

Cite this Paper

BibTeX
@InProceedings{pmlr-vR13-meila15a, title = {The 31st Uncertainty in Artificial Intelligence Conference: Preface}, author = {Meila, Marina and Heskes, Tom}, booktitle = {Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence}, pages = {1--8}, year = {2015}, editor = {Meila, Marina and Heskes, Tom}, volume = {R13}, series = {Proceedings of Machine Learning Research}, month = {12--16 Jul}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/r13/main/assets/meila15a/meila15a.pdf}, url = {https://proceedings.mlr.press/r13/meila15a.html}, abstract = {vii Organizing Committee ix Acknowledgments xi Sponsors xix Best Paper Awards xxi 1 Proceedings 1 Bayesian Optimal Control of Smoothly Parameterized Systems. Yasin Abbasi-Yadkori, Csaba Szepesvári . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Optimal expert elicitation to reduce interval uncertainty. Nadia Ben Abdallah, Sébastien Destercke . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Stochastic Integration via Error-Correcting Codes. Dimitris Achlioptas, Pei Jiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 Learning the Structure of Sum-Product Networks via an SVD-based Algorithm. Tameem Adel, David Balduzzi, Ali Ghodsi . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 Robust reconstruction of causal graphical models based on conditional 2-point and 3-point information. Séverine Affeldt, Hervé Isambert . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models. Stefano V. Albrecht, Subramanian Ramamoorthy . . . . . . . . . . . . . . . . . . . . . . . 52 Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization. Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen Boyd . . . . . . . . . . . . . . . . . . 62 Intelligent Affect: Rational Decision Making for Socially Aligned Agents. Nabiha Asghar, Jesse Hoey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 Representation Learning for Clustering: A Statistical Framework. Hassan Ashtiani, Shai Ben-David . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 Adversarial Cost-Sensitive Classification. Kaiser Asif, Wei Xing, Sima Behpour, Brian D. Ziebart . . . . . . . . . . . . . . . . . . . 92 Geometric Network Comparisons. Dena Marie Asta, Cosma Rohilla Shalizi . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 Learning and Planning with Timing Information in Markov Decision Processes. Pierre-Luc Bacon, Borja Balle, Doina Precup . . . . . . . . . . . . . . . . . . . . . . . . . 111 Parameterizing the Distance Distribution of Undirected Networks. Christian Bauckhage, Kristian Kersting, Fabian Hadiji . . . . . . . . . . . . . . . . . . . 121 New Limits for Knowledge Compilation and Applications to Exact Model Counting. Paul Beame, Vincent Liew . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131 Hashing-Based Approximate Probabilistic Inference in Hybrid Domains. Vaishak Belle, Guy Van d}, note = {Reissued by PMLR on 04 October 2026.} }
Endnote
%0 Conference Paper %T The 31st Uncertainty in Artificial Intelligence Conference: Preface %A Marina Meila %A Tom Heskes %B Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence %C Proceedings of Machine Learning Research %D 2015 %E Marina Meila %E Tom Heskes %F pmlr-vR13-meila15a %I PMLR %P 1--8 %U https://proceedings.mlr.press/r13/meila15a.html %V R13 %X vii Organizing Committee ix Acknowledgments xi Sponsors xix Best Paper Awards xxi 1 Proceedings 1 Bayesian Optimal Control of Smoothly Parameterized Systems. Yasin Abbasi-Yadkori, Csaba Szepesvári . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Optimal expert elicitation to reduce interval uncertainty. Nadia Ben Abdallah, Sébastien Destercke . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Stochastic Integration via Error-Correcting Codes. Dimitris Achlioptas, Pei Jiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 Learning the Structure of Sum-Product Networks via an SVD-based Algorithm. Tameem Adel, David Balduzzi, Ali Ghodsi . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 Robust reconstruction of causal graphical models based on conditional 2-point and 3-point information. Séverine Affeldt, Hervé Isambert . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models. Stefano V. Albrecht, Subramanian Ramamoorthy . . . . . . . . . . . . . . . . . . . . . . . 52 Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization. Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen Boyd . . . . . . . . . . . . . . . . . . 62 Intelligent Affect: Rational Decision Making for Socially Aligned Agents. Nabiha Asghar, Jesse Hoey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 Representation Learning for Clustering: A Statistical Framework. Hassan Ashtiani, Shai Ben-David . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 Adversarial Cost-Sensitive Classification. Kaiser Asif, Wei Xing, Sima Behpour, Brian D. Ziebart . . . . . . . . . . . . . . . . . . . 92 Geometric Network Comparisons. Dena Marie Asta, Cosma Rohilla Shalizi . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 Learning and Planning with Timing Information in Markov Decision Processes. Pierre-Luc Bacon, Borja Balle, Doina Precup . . . . . . . . . . . . . . . . . . . . . . . . . 111 Parameterizing the Distance Distribution of Undirected Networks. Christian Bauckhage, Kristian Kersting, Fabian Hadiji . . . . . . . . . . . . . . . . . . . 121 New Limits for Knowledge Compilation and Applications to Exact Model Counting. Paul Beame, Vincent Liew . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131 Hashing-Based Approximate Probabilistic Inference in Hybrid Domains. Vaishak Belle, Guy Van d %Z Reissued by PMLR on 04 October 2026.
APA
Meila, M. & Heskes, T.. (2015). The 31st Uncertainty in Artificial Intelligence Conference: Preface. Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence, in Proceedings of Machine Learning Research R13:1-8 Available from https://proceedings.mlr.press/r13/meila15a.html. Reissued by PMLR on 04 October 2026.

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