The 30th Uncertainty in Artificial Intelligence Conference: Preface

Nevin L. Zhang, Jin Tian
Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence, PMLR R12:1-6, 2014.

Abstract

vii Organizing Committee ix Acknowledgments xi Sponsors xvii Best Paper Awards xix 1 Proceedings 1 MEMR: A Margin Equipped Monotone Retargeting Framework for Ranking. Sreangsu Acharyya, Joydeep Ghosh . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems. Stefano Albrecht, Subramanian Ramamoorthy . . . . . . . . . . . . . . . . . . . . . . . . . 12 Accelerating MCMC via Parallel Predictive Prefetching. Elaine Angelino, Eddie Kohler, Margo Seltzer, Amos Waterland, Ryan Adams . . . . . . 22 A variational approach to stable principal component pursuit. Aleksandr Aravkin, Stephen Becker, Volkan Cevher, Peder Olsen . . . . . . . . . . . . . . 32 Markov Network Structure Learning via Ensemble-of-Forests Models. Eirini Arvaniti, Manfred Claassen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 Can(Plan)+: Extending the Operational Semantics of the BDI architecture to deal with Uncertain Information. Kim Bauters, Weiru Liu, Jun Hong, Carles Sierra, Lluis Godo . . . . . . . . . . . . . . . 52 Message Passing for Soft Constraint Dual Decomposition. David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum . . . . . . . . . . 62 Bayesian Interactive Decision Support for Multi-Attribute Problems with Even Swaps. Debarun Bhattacharjya, Jeffrey Kephart . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 Learning to Predict from Crowdsourced Data. Wei Bi, Liwei Wang, James Kwok, Zhuowen Tu . . . . . . . . . . . . . . . . . . . . . . . 82 Lifted Tree-Reweighted Variational Inference. Hung Bui, Tuyen Huynh, David Sontag . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 Approximate Decentralized Bayesian Inference. Trevor Campbell, Jonathan How . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 Inferring latent structures via information inequalities. Rafael Chaves, Lukas Luft, Thiago Maciel, David Gross, Dominik Janzing, Bernhard Sch\"{}olkopf . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112 Near-optimal Adaptive Pool-based Active Learning with General Loss. Nguyen Viet Cuong, Wee Sun Lee, Nan Ye . . . . . . . . . . . . . . . . . . . . . . . . . . 122 A Permutation-Based Kernel Conditional Independence Test. Gary Doran, Krikamol Muandet, Kun Zhang, Bernhard Sch\"{}olkopf . . . . . . . . . . . . . 132 Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models. Kumar Dube

Cite this Paper

BibTeX
@InProceedings{pmlr-vR12-zhang14a, title = {The 30th Uncertainty in Artificial Intelligence Conference: Preface}, author = {Zhang, Nevin L. and Tian, Jin}, booktitle = {Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence}, pages = {1--6}, year = {2014}, editor = {Zhang, Nevin L. and Tian, Jin}, volume = {R12}, series = {Proceedings of Machine Learning Research}, month = {23--27 Jul}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/r12/main/assets/zhang14a/zhang14a.pdf}, url = {https://proceedings.mlr.press/r12/zhang14a.html}, abstract = {vii Organizing Committee ix Acknowledgments xi Sponsors xvii Best Paper Awards xix 1 Proceedings 1 MEMR: A Margin Equipped Monotone Retargeting Framework for Ranking. Sreangsu Acharyya, Joydeep Ghosh . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems. Stefano Albrecht, Subramanian Ramamoorthy . . . . . . . . . . . . . . . . . . . . . . . . . 12 Accelerating MCMC via Parallel Predictive Prefetching. Elaine Angelino, Eddie Kohler, Margo Seltzer, Amos Waterland, Ryan Adams . . . . . . 22 A variational approach to stable principal component pursuit. Aleksandr Aravkin, Stephen Becker, Volkan Cevher, Peder Olsen . . . . . . . . . . . . . . 32 Markov Network Structure Learning via Ensemble-of-Forests Models. Eirini Arvaniti, Manfred Claassen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 Can(Plan)+: Extending the Operational Semantics of the BDI architecture to deal with Uncertain Information. Kim Bauters, Weiru Liu, Jun Hong, Carles Sierra, Lluis Godo . . . . . . . . . . . . . . . 52 Message Passing for Soft Constraint Dual Decomposition. David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum . . . . . . . . . . 62 Bayesian Interactive Decision Support for Multi-Attribute Problems with Even Swaps. Debarun Bhattacharjya, Jeffrey Kephart . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 Learning to Predict from Crowdsourced Data. Wei Bi, Liwei Wang, James Kwok, Zhuowen Tu . . . . . . . . . . . . . . . . . . . . . . . 82 Lifted Tree-Reweighted Variational Inference. Hung Bui, Tuyen Huynh, David Sontag . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 Approximate Decentralized Bayesian Inference. Trevor Campbell, Jonathan How . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 Inferring latent structures via information inequalities. Rafael Chaves, Lukas Luft, Thiago Maciel, David Gross, Dominik Janzing, Bernhard Sch\"{}olkopf . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112 Near-optimal Adaptive Pool-based Active Learning with General Loss. Nguyen Viet Cuong, Wee Sun Lee, Nan Ye . . . . . . . . . . . . . . . . . . . . . . . . . . 122 A Permutation-Based Kernel Conditional Independence Test. Gary Doran, Krikamol Muandet, Kun Zhang, Bernhard Sch\"{}olkopf . . . . . . . . . . . . . 132 Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models. Kumar Dube}, note = {Reissued by PMLR on 04 October 2026.} }
Endnote
%0 Conference Paper %T The 30th Uncertainty in Artificial Intelligence Conference: Preface %A Nevin L. Zhang %A Jin Tian %B Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence %C Proceedings of Machine Learning Research %D 2014 %E Nevin L. Zhang %E Jin Tian %F pmlr-vR12-zhang14a %I PMLR %P 1--6 %U https://proceedings.mlr.press/r12/zhang14a.html %V R12 %X vii Organizing Committee ix Acknowledgments xi Sponsors xvii Best Paper Awards xix 1 Proceedings 1 MEMR: A Margin Equipped Monotone Retargeting Framework for Ranking. Sreangsu Acharyya, Joydeep Ghosh . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems. Stefano Albrecht, Subramanian Ramamoorthy . . . . . . . . . . . . . . . . . . . . . . . . . 12 Accelerating MCMC via Parallel Predictive Prefetching. Elaine Angelino, Eddie Kohler, Margo Seltzer, Amos Waterland, Ryan Adams . . . . . . 22 A variational approach to stable principal component pursuit. Aleksandr Aravkin, Stephen Becker, Volkan Cevher, Peder Olsen . . . . . . . . . . . . . . 32 Markov Network Structure Learning via Ensemble-of-Forests Models. Eirini Arvaniti, Manfred Claassen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 Can(Plan)+: Extending the Operational Semantics of the BDI architecture to deal with Uncertain Information. Kim Bauters, Weiru Liu, Jun Hong, Carles Sierra, Lluis Godo . . . . . . . . . . . . . . . 52 Message Passing for Soft Constraint Dual Decomposition. David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum . . . . . . . . . . 62 Bayesian Interactive Decision Support for Multi-Attribute Problems with Even Swaps. Debarun Bhattacharjya, Jeffrey Kephart . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 Learning to Predict from Crowdsourced Data. Wei Bi, Liwei Wang, James Kwok, Zhuowen Tu . . . . . . . . . . . . . . . . . . . . . . . 82 Lifted Tree-Reweighted Variational Inference. Hung Bui, Tuyen Huynh, David Sontag . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 Approximate Decentralized Bayesian Inference. Trevor Campbell, Jonathan How . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 Inferring latent structures via information inequalities. Rafael Chaves, Lukas Luft, Thiago Maciel, David Gross, Dominik Janzing, Bernhard Sch\"{}olkopf . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112 Near-optimal Adaptive Pool-based Active Learning with General Loss. Nguyen Viet Cuong, Wee Sun Lee, Nan Ye . . . . . . . . . . . . . . . . . . . . . . . . . . 122 A Permutation-Based Kernel Conditional Independence Test. Gary Doran, Krikamol Muandet, Kun Zhang, Bernhard Sch\"{}olkopf . . . . . . . . . . . . . 132 Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models. Kumar Dube %Z Reissued by PMLR on 04 October 2026.
APA
Zhang, N.L. & Tian, J.. (2014). The 30th Uncertainty in Artificial Intelligence Conference: Preface. Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence, in Proceedings of Machine Learning Research R12:1-6 Available from https://proceedings.mlr.press/r12/zhang14a.html. Reissued by PMLR on 04 October 2026.

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