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ORCIDAlexander Ihler
Alexander T. Ihler – Alex H. Ihler
Person information
- affiliation: University of California, Irvine, Department of Computer Science
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2020 – today
- 2024
[c88]Anna Raichev, Jin Tian, Alexander Ihler, Rina Dechter:
Estimating Causal Effects from Learned Causal Networks. ECAI 2024: 2524-2531- [i30]Shreyas Devaraju, Shivam Garg, Alexander Ihler, Sunil Kumar:
Pipe Routing with Topology Control for UAV Networks. CoRR abs/2405.04678 (2024) - [i29]Shivam Garg, Alexander Ihler, Elizabeth Serena Bentley, Sunil Kumar:
A Hybrid Reactive Routing Protocol for Decentralized UAV Networks. CoRR abs/2407.02929 (2024) - [i28]Anna Raichev, Alexander Ihler, Jin Tian, Rina Dechter:
Estimating Causal Effects from Learned Causal Networks. CoRR abs/2408.14101 (2024) - 2023
- [j19]Shivam Garg
, Alexander Ihler, Elizabeth Serena Bentley, Sunil Kumar:
A Cross-Layer, Mobility, and Congestion-Aware Routing Protocol for UAV Networks. IEEE Trans. Aerosp. Electron. Syst. 59(4): 3778-3796 (2023) - [c87]Noble Kennamer, Steven Walton, Alexander Ihler:
Design Amortization for Bayesian Optimal Experimental Design. AAAI 2023: 8220-8227 - [c86]Shreyas Devaraju, Alexander Ihler, Sunil Kumar:
A Connectivity-Aware Pheromone Mobility Model for Autonomous UAV Networks. CCNC 2023: 1-6 - [c85]Shreyas Devaraju, Alexander Ihler, Sunil Kumar:
A Deep Q-Learning Connectivity-Aware Pheromone Mobility Model for Autonomous UAV Networks. ICNC 2023: 575-580 - [c84]Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter:
Boosting AND/OR-based computational protein design: dynamic heuristics and generalizable UFO. UAI 2023: 1662-1672 - [i27]Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter:
Boosting AND/OR-Based Computational Protein Design: Dynamic Heuristics and Generalizable UFO. CoRR abs/2309.00408 (2023) - [i26]Shreyas Devaraju, Alexander Ihler, Sunil Kumar:
A Deep Q-Learning based, Base-Station Connectivity-Aware, Decentralized Pheromone Mobility Model for Autonomous UAV Networks. CoRR abs/2311.16409 (2023) - 2022
- [c83]Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox:
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks. ICML 2022: 13285-13301 - [c82]Thomas Yeh, Max Sterner, Zerlina Lai, Brandon Chuang, Alexander Ihler:
Be Like Water: Adaptive Floating Point for Machine Learning. ICML 2022: 25490-25500 - [c81]Sakshi Agarwal, Kalev Kask, Alexander Ihler, Rina Dechter:
NeuroBE: Escalating neural network approximations of Bucket Elimination. UAI 2022: 11-21 - [c80]Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter:
AND/OR branch-and-bound for computational protein design optimizing K. UAI 2022: 1602-1612 - [i25]Shivam Garg, Alexander Ihler, Sunil Kumar:
Accurate Link Lifetime Computation in Autonomous Airborne UAV Networks. CoRR abs/2202.00056 (2022) - [i24]Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox:
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks. CoRR abs/2209.07670 (2022) - [i23]Noble Kennamer, Steven Walton, Alexander Ihler:
Design Amortization for Bayesian Optimal Experimental Design. CoRR abs/2210.03283 (2022) - [i22]Shreyas Devaraju, Alexander Ihler, Sunil Kumar:
Connectivity-Aware Pheromone Mobility Model for Autonomous UAV Networks. CoRR abs/2210.06684 (2022) - 2021
- [i21]Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox:
Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates. CoRR abs/2110.14818 (2021) - 2020
- [j18]Yixuan Ma, Zhenji Zhang, Alexander Ihler:
Multi-Lane Short-Term Traffic Forecasting With Convolutional LSTM Network. IEEE Access 8: 34629-34643 (2020) - [j17]Yixuan Ma, Zhenji Zhang, Alexander Ihler:
A Deep Choice Model for Hiring Outcome Prediction in Online Labor Markets. Int. J. Comput. Commun. Control 15(2) (2020) - [c79]Kalev Kask, Bobak Pezeshki, Filjor Broka, Alexander Ihler, Rina Dechter:
Scaling Up AND/OR Abstraction Sampling. IJCAI 2020: 4266-4274 - [c78]Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander Ihler, Kara Ponder, Ricardo Vilalta, Anais Möller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluís Galbany:
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients. SSCI 2020: 3115-3124 - [i20]Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander Ihler, Kara Ponder, Ricardo Vilalta, Anais Möller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluís Galbany:
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients. CoRR abs/2010.05941 (2020)
2010 – 2019
- 2019
- [c77]Qi Lou, Rina Dechter, Alexander Ihler:
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms. AAAI 2019: 7900-7907 - [c76]Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler:
Anytime Recursive Best-First Search for Bounding Marginal MAP. AAAI 2019: 7924-7932 - [c75]Noble Kennamer, Alexander Ihler, David Kirkby:
Empirical Study of MC-Dropout in Various Astronomical Observing Conditions. CVPR Workshops 2019: 17-20 - [c74]Junkyu Lee, Radu Marinescu, Alexander Ihler, Rina Dechter:
A Weighted Mini-Bucket Bound for Solving Influence Diagram. UAI 2019: 1159-1168 - 2018
- [j16]Yixuan Ma, Zhenji Zhang, Alexander Ihler, Baoxiang Pan:
Estimating Warehouse Rental Price using Machine Learning Techniques. Int. J. Comput. Commun. Control 13(2): 235-250 (2018) - [j15]Radu Marinescu, Junkyu Lee, Rina Dechter, Alexander Ihler:
AND/OR Search for Marginal MAP. J. Artif. Intell. Res. 63: 875-921 (2018) - [c73]Junkyu Lee, Alexander Ihler, Rina Dechter:
Generalized Dual Decomposition for Bounding Maximum Expected Utility of Influence Diagrams with Perfect Recall. AAAI Workshops 2018: 674-681 - [c72]Nicholas Gallo, Alexander Ihler:
Lifted Generalized Dual Decomposition. AAAI 2018: 6351-6358 - [c71]Qi Lou, Rina Dechter, Alexander Ihler:
Anytime Anyspace AND/OR Best-First Search for Bounding Marginal MAP. AAAI 2018: 6392-6400 - [c70]Shaofei Wang, Alexander Ihler, Konrad P. Körding, Julian Yarkony:
Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation. ECCV (14) 2018: 677-692 - [c69]Noble Kennamer, David Kirkby, Alexander Ihler, Francisco Javier Sanchez-Lopez:
ContextNet: Deep learning for Star Galaxy Classification. ICML 2018: 2587-2595 - [c68]Radu Marinescu, Rina Dechter, Alexander Ihler:
Stochastic Anytime Search for Bounding Marginal MAP. IJCAI 2018: 5074-5081 - [c67]Nicholas Gallo, Alexander Ihler:
Lifted Weighted Mini-Bucket. NeurIPS 2018: 10350-10358 - [c66]Filjor Broka, Rina Dechter, Alexander Ihler, Kalev Kask:
Abstraction Sampling in Graphical Models. UAI 2018: 632-641 - [c65]Qi Lou, Rina Dechter, Alexander Ihler:
Finite-sample Bounds for Marginal MAP. UAI 2018: 725-734 - [c64]Junkyu Lee, Alexander Ihler, Rina Dechter:
Join Graph Decomposition Bounds for Influence Diagrams. UAI 2018: 1053-1062 - 2017
- [c63]Qi Lou, Rina Dechter, Alexander Ihler:
Anytime Anyspace AND/OR Search for Bounding the Partition Function. AAAI 2017: 860-867 - [c62]Radu Marinescu, Junkyu Lee, Alexander Ihler, Rina Dechter:
Anytime Best+Depth-First Search for Bounding Marginal MAP. AAAI 2017: 3775-3782 - [c61]Wei Ping, Alexander Ihler:
Belief Propagation in Conditional RBMs for Structured Prediction. AISTATS 2017: 1141-1149 - [c60]Qi Lou, Rina Dechter, Alexander Ihler:
Dynamic Importance Sampling for Anytime Bounds of the Partition Function. NIPS 2017: 3196-3204 - [e2]Gal Elidan, Kristian Kersting, Alexander Ihler:
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, UAI 2017, Sydney, Australia, August 11-15, 2017. AUAI Press 2017 [contents] - [i19]Wei Ping, Alexander Ihler:
Belief Propagation in Conditional RBMs for Structured Prediction. CoRR abs/1703.00986 (2017) - [i18]Shaofei Wang, Chong Zhang, Miguel Ángel González Ballester, Alexander Ihler, Julian Yarkony:
Multi-Person Pose Estimation via Column Generation. CoRR abs/1709.05982 (2017) - [i17]Wei Ping, Qiang Liu, Alexander Ihler:
Learning Infinite RBMs with Frank-Wolfe. CoRR abs/1710.05270 (2017) - 2016
- [c59]Junkyu Lee, Radu Marinescu, Rina Dechter, Alexander Ihler:
From Exact to Anytime Solutions for Marginal MAP. AAAI 2016: 3255-3262 - [c58]Yumeng Tao, Xiaogang Gao, Alexander Ihler, Kuolin Hsu, Soroosh Sorooshian:
Deep neural networks for precipitation estimation from remotely sensed information. CEC 2016: 1349-1355 - [c57]Blerim Cici, Emmanouil Alimpertis, Alexander Ihler, Athina Markopoulou:
Cell-to-cell activity prediction for smart cities. INFOCOM Workshops 2016: 903-908 - [c56]Wei Ping, Qiang Liu, Alexander Ihler:
Learning Infinite RBMs with Frank-Wolfe. NIPS 2016: 3063-3071 - [e1]Alexander Ihler, Dominik Janzing:
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, UAI 2016, June 25-29, 2016, New York City, NY, USA. AUAI Press 2016, ISBN 978-0-9966431-1-5 [contents] - 2015
- [c55]Qiang Liu, Alexander Ihler, John W. Fisher III:
Boosting crowdsourcing with expert labels: Local vs. global effects. FUSION 2015: 9-14 - [c54]Radu Marinescu, Rina Dechter, Alexander Ihler:
Pushing Forward Marginal MAP with Best-First Search. IJCAI 2015: 696-702 - [c53]Qiang Liu, John W. Fisher III, Alexander Ihler:
Probabilistic Variational Bounds for Graphical Models. NIPS 2015: 1432-1440 - [c52]Wei Ping, Qiang Liu, Alexander Ihler:
Decomposition Bounds for Marginal MAP. NIPS 2015: 3267-3275 - [c51]Sholeh Forouzan, Alexander Ihler:
Incremental Region Selection for Mini-bucket Elimination Bounds. UAI 2015: 268-277 - [c50]Qiang Liu, Jian Peng, Alexander Ihler, John W. Fisher III:
Estimating the Partition Function by Discriminance Sampling. UAI 2015: 514-522 - [i16]Wei Ping, Qiang Liu, Alexander Ihler:
Decomposition Bounds for Marginal MAP. CoRR abs/1511.02619 (2015) - 2014
- [j14]Andrew J. Frank, Padhraic Smyth, Alexander Ihler:
Beyond MAP Estimation With the Track-Oriented Multiple Hypothesis Tracker. IEEE Trans. Signal Process. 62(9): 2413-2423 (2014) - [j13]Shan Jiang, Behzad Sajadi, Alexander Ihler, M. Gopi:
Optimizing redundant-data clustering for interactive walkthrough applications. Vis. Comput. 30(6-8): 637-647 (2014) - [c49]Wei Ping, Qiang Liu, Alexander Ihler:
Marginal Structured SVM with Hidden Variables. ICML 2014: 190-198 - [c48]Qiang Liu, Alexander Ihler:
Distributed Estimation, Information Loss and Exponential Families. NIPS 2014: 1098-1106 - [c47]William Lam, Kalev Kask, Rina Dechter, Alexander Ihler:
Beyond Static Mini-Bucket: Towards Integrating with Iterative Cost-Shifting Based Dynamic Heuristics. SOCS 2014: 105-113 - [c46]Radu Marinescu, Rina Dechter, Alexander Ihler:
AND/OR Search for Marginal MAP. UAI 2014: 563-572 - [i15]Wei Ping, Qiang Liu, Alexander Ihler:
Marginal Structured SVM with Hidden Variables. CoRR abs/1409.1320 (2014) - 2013
- [j12]Qiang Liu, Alexander Ihler:
Variational algorithms for marginal MAP. J. Mach. Learn. Res. 14(1): 3165-3200 (2013) - [c45]Sholeh Forouzan, Alexander Ihler:
Linear Approximation to ADMM for MAP inference. ACML 2013: 48-61 - [c44]Behzad Sajadi, Duy-Quoc Lai, Alex H. Ihler, Meenakshisundaram Gopi, Aditi Majumder:
Image enhancement in projectors via optical pixel shift and overlay. ICCP 2013: 1-10 - [c43]Qiang Liu, Alexander Ihler, Mark Steyvers:
Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NIPS 2013: 1914-1922 - [c42]Qiang Cheng, Qiang Liu, Feng Chen, Alexander Ihler:
Variational Planning for Graph-based MDPs. NIPS 2013: 2976-2984 - [i14]Qiang Liu, Alexander Ihler:
Variational Algorithms for Marginal MAP. CoRR abs/1302.6584 (2013) - 2012
- [j11]Alexander Ihler, David Newman:
Understanding Errors in Approximate Distributed Latent Dirichlet Allocation. IEEE Trans. Knowl. Data Eng. 24(5): 952-960 (2012) - [c41]Qiang Cheng, Feng Chen, Jianwu Dong, Wenli Xu, Alexander Ihler:
Approximating the Sum Operation for Marginal-MAP Inference. AAAI 2012: 1882-1887 - [c40]Julian Yarkony, Alexander Ihler, Charless C. Fowlkes:
Fast Planar Correlation Clustering for Image Segmentation. ECCV (6) 2012: 568-581 - [c39]Qiang Liu, Alexander Ihler:
Distributed Parameter Estimation via Pseudo-likelihood . ICML 2012 - [c38]Qiang Liu, Jian Peng, Alexander Ihler:
Variational Inference for Crowdsourcing. NIPS 2012: 701-709 - [c37]Andrew J. Frank, Padhraic Smyth, Alexander Ihler:
A graphical model representation of the track-oriented multiple hypothesis tracker. SSP 2012: 768-771 - [c36]Alexander Ihler, Natalia Flerova, Rina Dechter, Lars Otten:
Join-graph based cost-shifting schemes. UAI 2012: 397-406 - [c35]Qiang Liu, Alexander Ihler:
Belief Propagation for Structured Decision Making. UAI 2012: 523-532 - [c34]Max Welling, Andrew Gelfand, Alexander Ihler:
A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation. UAI 2012: 883-892 - [i13]Qiang Liu, Alexander Ihler:
Variational Algorithms for Marginal MAP. CoRR abs/1202.3742 (2012) - [i12]Julian Yarkony, Ragib Morshed, Alexander T. Ihler, Charless C. Fowlkes:
Tightening MRF Relaxations with Planar Subproblems. CoRR abs/1202.3771 (2012) - [i11]Qiang Liu, Alexander Ihler:
Negative Tree Reweighted Belief Propagation. CoRR abs/1203.3494 (2012) - [i10]Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu, Özgür Sümer:
Adaptive Inference on General Graphical Models. CoRR abs/1206.3234 (2012) - [i9]Alexander T. Ihler:
Accuracy Bounds for Belief Propagation. CoRR abs/1206.5277 (2012) - [i8]Ian Porteous, Alexander T. Ihler, Padhraic Smyth, Max Welling:
Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation. CoRR abs/1206.6845 (2012) - [i7]Julian Yarkony, Alexander Ihler, Charless C. Fowlkes:
Fast Planar Correlation Clustering for Image Segmentation. CoRR abs/1208.0378 (2012) - [i6]Alexander Ihler, Natalia Flerova, Rina Dechter, Lars Otten:
Join-graph based cost-shifting schemes. CoRR abs/1210.4878 (2012) - [i5]Qiang Liu, Alexander Ihler:
Belief Propagation for Structured Decision Making. CoRR abs/1210.4897 (2012) - [i4]Max Welling, Andrew E. Gelfand, Alexander Ihler:
A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation. CoRR abs/1210.4916 (2012) - 2011
- [j10]Özgür Sümer, Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu:
Adaptive Exact Inference in Graphical Models. J. Mach. Learn. Res. 12: 3147-3186 (2011) - [j9]Danny Bickson, Dror Baron, Alexander Ihler, Harel Avissar, Danny Dolev:
Fault Identification Via Nonparametric Belief Propagation. IEEE Trans. Signal Process. 59(6): 2602-2613 (2011) - [c33]Özgür Sümer, Umut A. Acar, Alexander Ihler, Ramgopal R. Mettu:
Fast Parallel and Adaptive Updates for Dual-Decomposition Solvers. AAAI 2011: 1076-1082 - [c32]Alexander Ihler:
Session MP3a: Graphical models in signal processing II. ACSCC 2011: 394-396 - [c31]Qiang Liu, Alexander Ihler:
Bounding the Partition Function using Holder's Inequality. ICML 2011: 849-856 - [c30]Qiang Liu, Alexander Ihler:
Variational Algorithms for Marginal MAP. UAI 2011: 453-462 - [c29]Julian Yarkony, Alexander Ihler, Charless C. Fowlkes:
Planar Cycle Covering Graphs. UAI 2011: 761-769 - [c28]Julian Yarkony, Ragib Morshed, Alexander Ihler, Charless C. Fowlkes:
Tightening MRF Relaxations with Planar Subproblems. UAI 2011: 770-777 - [c27]Qiang Liu, Alexander Ihler:
Learning Scale Free Networks by Reweighted L1 regularization. AISTATS 2011: 40-48 - [c26]James R. Foulds, Nicholas Navaroli, Padhraic Smyth, Alexander Ihler:
Revisiting MAP Estimation, Message Passing and Perfect Graphs. AISTATS 2011: 278-286 - [c25]Tianbing Xu, Alexander Ihler:
Multicore Gibbs Sampling in Dense, Unstructured Graphs. AISTATS 2011: 798-806 - [i3]Julian Yarkony, Alexander T. Ihler, Charless C. Fowlkes:
Planar Cycle Covering Graphs. CoRR abs/1104.1204 (2011) - 2010
- [j8]Qiang Liu, Kevin K. Lin, Bogi Andersen, Padhraic Smyth, Alexander Ihler:
Estimating replicate time shifts using Gaussian process regression. Bioinform. 26(6): 770-776 (2010) - [j7]Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, Alan S. Willsky:
Nonparametric belief propagation. Commun. ACM 53(10): 95-103 (2010) - [c24]Julian Yarkony, Charless C. Fowlkes, Alexander Ihler:
Covering trees and lower-bounds on quadratic assignment. CVPR 2010: 887-894 - [c23]Arthur U. Asuncion, Qiang Liu, Alexander T. Ihler, Padhraic Smyth:
Particle Filtered MCMC-MLE with Connections to Contrastive Divergence. ICML 2010: 47-54 - [c22]Qiang Liu, Alexander Ihler:
Negative Tree Reweighted Belief Propagation. UAI 2010: 332-339 - [c21]Arthur U. Asuncion, Qiang Liu, Alexander Ihler, Padhraic Smyth:
Learning with Blocks: Composite Likelihood and Contrastive Divergence. AISTATS 2010: 33-40
2000 – 2009
- 2009
- [j6]Darya Chudova, Alexander Ihler, Kevin K. Lin, Bogi Andersen, Padhraic Smyth:
Bayesian detection of non-sinusoidal periodic patterns in circadian expression data. Bioinform. 25(23): 3114-3120 (2009) - [c20]Danny Bickson, Alexander T. Ihler, Harel Avissar, Danny Dolev:
A low density lattice decoder via non-parametric belief propagation. Allerton 2009: 439-446 - [c19]Alexander Ihler, Andrew J. Frank, Padhraic Smyth:
Particle-based Variational Inference for Continuous Systems. NIPS 2009: 826-834 - [c18]Alexander Ihler, David A. McAllester:
Particle Belief Propagation. AISTATS 2009: 256-263 - [i2]Danny Bickson, Alexander T. Ihler, Danny Dolev:
A Low Density Lattice Decoder via Non-Parametric Belief Propagation. CoRR abs/0901.3197 (2009) - [i1]Danny Bickson, Harel Avissar, Danny Dolev, Stephen P. Boyd, Alexander Ihler, Dror Baron:
Distributed Fault Identification via Non-parametric Belief Propagation. CoRR abs/0908.2005 (2009) - 2008
- [c17]Jon Hutchins, Alexander Ihler, Padhraic Smyth:
Probabilistic Analysis of a Large-Scale Urban Traffic Sensor Data Set. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 94-114 - [c16]Ian Porteous, David Newman, Alexander Ihler, Arthur U. Asuncion, Padhraic Smyth, Max Welling:
Fast collapsed gibbs sampling for latent dirichlet allocation. KDD 2008: 569-577 - [c15]Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu, Özgür Sümer:
Adaptive inference on general graphical models. UAI 2008: 1-8 - 2007
- [j5]Alexander T. Ihler, Jon Hutchins, Padhraic Smyth:
Learning to detect events with Markov-modulated poisson processes. ACM Trans. Knowl. Discov. Data 1(3): 13 (2007) - [c14]Özgür Sümer, Umut A. Acar, Alexander Ihler, Ramgopal R. Mettu:
Efficient Bayesian Inference for Dynamically Changing Graphs. NIPS 2007: 1441-1448 - [c13]Alexander Ihler:
Accuracy Bounds for Belief Propagation. UAI 2007: 183-190 - 2006
- [j4]Müjdat Çetin, Lei Chen, John W. Fisher III, Alexander T. Ihler, Randolph L. Moses, Martin J. Wainwright, Alan S. Willsky:
Distributed fusion in sensor networks. IEEE Signal Process. Mag. 23(4): 42-55 (2006) - [c12]Alexander Ihler, Jon Hutchins, Padhraic Smyth:
Adaptive event detection with time-varying poisson processes. KDD 2006: 207-216 - [c11]Alexander T. Ihler, Padhraic Smyth:
Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models. NIPS 2006: 625-632 - [c10]Ian Porteous, Alexander T. Ihler, Padhraic Smyth, Max Welling:
Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation. UAI 2006 - 2005
- [b1]Alexander T. Ihler:
Inference in sensor networks: graphical models and particle methods. Massachusetts Institute of Technology, Cambridge, MA, USA, 2005 - [j3]Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Loopy Belief Propagation: Convergence and Effects of Message Errors. J. Mach. Learn. Res. 6: 905-936 (2005) - [j2]Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky:
Nonparametric belief propagation for self-localization of sensor networks. IEEE J. Sel. Areas Commun. 23(4): 809-819 (2005) - [c9]Michael Siracusa, Kinh Tieu, Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Estimating dependency and significance for high-dimensional data. ICASSP (5) 2005: 1085-1088 - 2004
- [j1]Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Nonparametric hypothesis tests for statistical dependency. IEEE Trans. Signal Process. 52(8): 2234-2249 (2004) - [c8]Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky:
Nonparametric belief propagation for sensor self-calibration. ICASSP (3) 2004: 861-864 - [c7]Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky:
Nonparametric belief propagation for self-calibration in sensor networks. IPSN 2004: 225-233 - [c6]Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Message Errors in Belief Propagation. NIPS 2004: 609-616 - 2003
- [c5]Erik B. Sudderth, Alexander T. Ihler, William T. Freeman, Alan S. Willsky:
Nonparametric Belief Propagation. CVPR (1) 2003: 605-612 - [c4]Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Hypothesis Testing over Factorizations for Data Association. IPSN 2003: 239-253 - [c3]Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky:
Efficient Multiscale Sampling from Products of Gaussian Mixtures. NIPS 2003: 1-8 - 2001
- [c2]Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Nonparametric estimators for online signature authentication. ICASSP 2001: 3473-3476
1990 – 1999
- 1999
- [c1]John W. Fisher III, Alexander T. Ihler, Paul A. Viola:
Learning Informative Statistics: A Nonparametnic Approach. NIPS 1999: 900-906
Coauthor Index
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