Alexander Ihler

116 papers A* 23A 29B 2C 2Misc 1Journal 39Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Hybrid Reactive Routing Protocol for Decentralized UAV Networks. IEEE Trans. Aerosp. Electron. Syst. Shivam Garg, Alexander Ihler, Elizabeth Serena Bentley, Sunil Kumar
2025	A	`conf`	Graph-based Complexity for Causal Effect by Empirical Plug-in. AISTATS Rina Dechter, Anna Raichev, Jin Tian, Alexander Ihler
2024	J	`jnl`	A Deep-$Q$-Learning-Based Base-Station-Connectivity-Aware Decentralized Pheromone Mobility Model for Autonomous UAV Networks. IEEE Trans. Aerosp. Electron. Syst. Shreyas Devaraju, Alexander Ihler, Sunil Kumar
2024	J	`jnl`	A Hybrid Reactive Routing Protocol for Decentralized UAV Networks. CoRR Shivam Garg, Alexander Ihler, Elizabeth Serena Bentley, Sunil Kumar
2024	A	`conf`	Estimating Causal Effects from Learned Causal Networks. ECAI Anna Raichev, Jin Tian, Alexander Ihler, Rina Dechter
2024	J	`jnl`	Estimating Causal Effects from Learned Causal Networks. CoRR Anna Raichev, Alexander Ihler, Jin Tian, Rina Dechter
2024	J	`jnl`	Graph-based Complexity for Causal Effect by Empirical Plug-in. CoRR Rina Dechter, Anna Raichev, Alexander Ihler, Jin Tian
2024	J	`jnl`	Pipe Routing with Topology Control for UAV Networks. CoRR Shreyas Devaraju, Shivam Garg, Alexander Ihler, Sunil Kumar
2024	A	`conf`	Value-Based Abstraction Functions for Abstraction Sampling. UAI Bobak Pezeshki, Kalev Kask, Alexander Ihler, Rina Dechter
2023	—	`conf`	A Connectivity-Aware Pheromone Mobility Model for Autonomous UAV Networks. CCNC Shreyas Devaraju, Alexander Ihler, Sunil Kumar
2023	J	`jnl`	A Cross-Layer, Mobility, and Congestion-Aware Routing Protocol for UAV Networks. IEEE Trans. Aerosp. Electron. Syst. Shivam Garg, Alexander Ihler, Elizabeth Serena Bentley, Sunil Kumar
2023	Misc	`conf`	A Deep Q-Learning Connectivity-Aware Pheromone Mobility Model for Autonomous UAV Networks. ICNC Shreyas Devaraju, Alexander Ihler, Sunil Kumar
2023	J	`jnl`	A Deep Q-Learning based, Base-Station Connectivity-Aware, Decentralized Pheromone Mobility Model for Autonomous UAV Networks. CoRR Shreyas Devaraju, Alexander Ihler, Sunil Kumar
2023	J	`jnl`	Boosting AND/OR-Based Computational Protein Design: Dynamic Heuristics and Generalizable UFO. CoRR Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter
2023	A	`conf`	Boosting AND/OR-based computational protein design: dynamic heuristics and generalizable UFO. UAI Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter
2023	A*	`conf`	Design Amortization for Bayesian Optimal Experimental Design. AAAI Noble Kennamer, Steven Walton, Alexander Ihler
2022	A	`conf`	AND/OR branch-and-bound for computational protein design optimizing K. UAI Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter
2022	J	`jnl`	Accurate Link Lifetime Computation in Autonomous Airborne UAV Networks. CoRR Shivam Garg, Alexander Ihler, Sunil Kumar
2022	A*	`conf`	Be Like Water: Adaptive Floating Point for Machine Learning. ICML Thomas Y. Yeh, Max Sterner, Zerlina Lai, Brandon Chuang, Alexander Ihler
2022	J	`jnl`	Connectivity-Aware Pheromone Mobility Model for Autonomous UAV Networks. CoRR Shreyas Devaraju, Alexander Ihler, Sunil Kumar
2022	J	`jnl`	Design Amortization for Bayesian Optimal Experimental Design. CoRR Noble Kennamer, Steven Walton, Alexander Ihler
2022	A	`conf`	NeuroBE: Escalating neural network approximations of Bucket Elimination. UAI Sakshi Agarwal, Kalev Kask, Alexander Ihler, Rina Dechter
2022	A*	`conf`	Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks. ICML Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox
2022	J	`jnl`	Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks. CoRR Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox
2021	J	`jnl`	Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates. CoRR Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox
2020	J	`jnl`	A Deep Choice Model for Hiring Outcome Prediction in Online Labor Markets. Int. J. Comput. Commun. Control Yixuan Ma, Zhenji Zhang, Alexander Ihler
2020	—	`conf`	Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients. SSCI 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
2020	J	`jnl`	Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients. CoRR 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
2020	J	`jnl`	Multi-Lane Short-Term Traffic Forecasting With Convolutional LSTM Network. IEEE Access Yixuan Ma, Zhenji Zhang, Alexander Ihler
2020	A*	`conf`	Scaling Up AND/OR Abstraction Sampling. IJCAI Kalev Kask, Bobak Pezeshki, Filjor Broka, Alexander Ihler, Rina Dechter
2019	A	`conf`	A Weighted Mini-Bucket Bound for Solving Influence Diagram. UAI Junkyu Lee, Radu Marinescu, Alexander Ihler, Rina Dechter
2019	A*	`conf`	Anytime Recursive Best-First Search for Bounding Marginal MAP. AAAI Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler
2019	—	`conf`	Empirical Study of MC-Dropout in Various Astronomical Observing Conditions. CVPR Workshops Noble Kennamer, Alexander Ihler, David Kirkby
2019	A*	`conf`	Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms. AAAI Qi Lou, Rina Dechter, Alexander Ihler
2018	J	`jnl`	AND/OR Search for Marginal MAP. J. Artif. Intell. Res. Radu Marinescu, Junkyu Lee, Rina Dechter, Alexander Ihler
2018	A	`conf`	Abstraction Sampling in Graphical Models. UAI Filjor Broka, Rina Dechter, Alexander Ihler, Kalev Kask
2018	—	`conf`	Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation. ECCV (14) Shaofei Wang, Alexander Ihler, Konrad P. Körding, Julian Yarkony
2018	A*	`conf`	Anytime Anyspace AND/OR Best-First Search for Bounding Marginal MAP. AAAI Qi Lou, Rina Dechter, Alexander Ihler
2018	A*	`conf`	ContextNet: Deep learning for Star Galaxy Classification. ICML Noble Kennamer, David Kirkby, Alexander Ihler, Francisco Javier Sanchez-Lopez
2018	J	`jnl`	Estimating Warehouse Rental Price using Machine Learning Techniques. Int. J. Comput. Commun. Control Yixuan Ma, Zhenji Zhang, Alexander Ihler, Baoxiang Pan
2018	A	`conf`	Finite-sample Bounds for Marginal MAP. UAI Qi Lou, Rina Dechter, Alexander Ihler
2018	—	`conf`	Generalized Dual Decomposition for Bounding Maximum Expected Utility of Influence Diagrams with Perfect Recall. AAAI Workshops Junkyu Lee, Alexander Ihler, Rina Dechter
2018	A	`conf`	Join Graph Decomposition Bounds for Influence Diagrams. UAI Junkyu Lee, Alexander Ihler, Rina Dechter
2018	A*	`conf`	Lifted Generalized Dual Decomposition. AAAI Nicholas Gallo, Alexander Ihler
2018	A*	`conf`	Lifted Weighted Mini-Bucket. NeurIPS Nicholas Gallo, Alexander Ihler
2018	A*	`conf`	Stochastic Anytime Search for Bounding Marginal MAP. IJCAI Radu Marinescu, Rina Dechter, Alexander Ihler
2017	A*	`conf`	Anytime Anyspace AND/OR Search for Bounding the Partition Function. AAAI Qi Lou, Rina Dechter, Alexander Ihler
2017	A*	`conf`	Anytime Best+Depth-First Search for Bounding Marginal MAP. AAAI Radu Marinescu, Junkyu Lee, Alexander Ihler, Rina Dechter
2017	A	`conf`	Belief Propagation in Conditional RBMs for Structured Prediction. AISTATS Wei Ping, Alexander Ihler
2017	J	`jnl`	Belief Propagation in Conditional RBMs for Structured Prediction. CoRR Wei Ping, Alexander Ihler
2017	—	`conf`	Dynamic Importance Sampling for Anytime Bounds of the Partition Function. NIPS Qi Lou, Rina Dechter, Alexander Ihler
2017	J	`jnl`	Learning Infinite RBMs with Frank-Wolfe. CoRR Wei Ping, Qiang Liu, Alexander Ihler
2017	J	`jnl`	Multi-Person Pose Estimation via Column Generation. CoRR Shaofei Wang, Chong Zhang, Miguel Ángel González Ballester, Alexander Ihler, Julian Yarkony
2017	A	`ed.`	Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, UAI 2017, Sydney, Australia, August 11-15, 2017 UAI Gal Elidan, Kristian Kersting, Alexander Ihler
2016	—	`conf`	Cell-to-cell activity prediction for smart cities. INFOCOM Workshops Blerim Cici, Emmanouil Alimpertis, Alexander Ihler, Athina Markopoulou
2016	B	`conf`	Deep neural networks for precipitation estimation from remotely sensed information. CEC Yumeng Tao, Xiaogang Gao, Alexander Ihler, Kuolin Hsu, Soroosh Sorooshian
2016	A*	`conf`	From Exact to Anytime Solutions for Marginal MAP. AAAI Junkyu Lee, Radu Marinescu, Rina Dechter, Alexander Ihler
2016	—	`conf`	Learning Infinite RBMs with Frank-Wolfe. NIPS Wei Ping, Qiang Liu, Alexander Ihler
2016	A	`ed.`	Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, UAI 2016, June 25-29, 2016, New York City, NY, USA UAI Alexander Ihler, Dominik Janzing
2015	C	`conf`	Boosting crowdsourcing with expert labels: Local vs. global effects. FUSION Qiang Liu, Alexander Ihler, John W. Fisher III
2015	—	`conf`	Decomposition Bounds for Marginal MAP. NIPS Wei Ping, Qiang Liu, Alexander Ihler
2015	J	`jnl`	Decomposition Bounds for Marginal MAP. CoRR Wei Ping, Qiang Liu, Alexander Ihler
2015	A	`conf`	Estimating the Partition Function by Discriminance Sampling. UAI Qiang Liu, Jian Peng, Alexander Ihler, John W. Fisher III
2015	A	`conf`	Incremental Region Selection for Mini-bucket Elimination Bounds. UAI Sholeh Forouzan, Alexander Ihler
2015	—	`conf`	Probabilistic Variational Bounds for Graphical Models. NIPS Qiang Liu, John W. Fisher III, Alexander Ihler
2015	A*	`conf`	Pushing Forward Marginal MAP with Best-First Search. IJCAI Radu Marinescu, Rina Dechter, Alexander Ihler
2014	A	`conf`	AND/OR Search for Marginal MAP. UAI Radu Marinescu, Rina Dechter, Alexander Ihler
2014	J	`jnl`	Beyond MAP Estimation With the Track-Oriented Multiple Hypothesis Tracker. IEEE Trans. Signal Process. Andrew J. Frank, Padhraic Smyth, Alexander Ihler
2014	B	`conf`	Beyond Static Mini-Bucket: Towards Integrating with Iterative Cost-Shifting Based Dynamic Heuristics. SOCS William Lam, Kalev Kask, Rina Dechter, Alexander Ihler
2014	—	`conf`	Distributed Estimation, Information Loss and Exponential Families. NIPS Qiang Liu, Alexander Ihler
2014	A*	`conf`	Marginal Structured SVM with Hidden Variables. ICML Wei Ping, Qiang Liu, Alexander Ihler
2014	J	`jnl`	Marginal Structured SVM with Hidden Variables. CoRR Wei Ping, Qiang Liu, Alexander Ihler
2014	J	`jnl`	Optimizing redundant-data clustering for interactive walkthrough applications. Vis. Comput. Shan Jiang, Behzad Sajadi, Alexander Ihler, M. Gopi
2013	C	`conf`	Linear Approximation to ADMM for MAP inference. ACML Sholeh Forouzan, Alexander Ihler
2013	—	`conf`	Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NIPS Qiang Liu, Alexander Ihler, Mark Steyvers
2013	J	`jnl`	Variational Algorithms for Marginal MAP CoRR Qiang Liu, Alexander Ihler
2013	—	`conf`	Variational Planning for Graph-based MDPs. NIPS Qiang Cheng, Qiang Liu, Feng Chen, Alexander Ihler
2013	J	`jnl`	Variational algorithms for marginal MAP. J. Mach. Learn. Res. Qiang Liu, Alexander Ihler
2012	J	`jnl`	A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation CoRR Max Welling, Andrew E. Gelfand, Alexander Ihler
2012	A	`conf`	A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation. UAI Max Welling, Andrew Gelfand, Alexander Ihler
2012	—	`conf`	A graphical model representation of the track-oriented multiple hypothesis tracker. SSP Andrew J. Frank, Padhraic Smyth, Alexander Ihler
2012	A*	`conf`	Approximating the Sum Operation for Marginal-MAP Inference. AAAI Qiang Cheng, Feng Chen, Jianwu Dong, Wenli Xu, Alexander Ihler
2012	J	`jnl`	Belief Propagation for Structured Decision Making CoRR Qiang Liu, Alexander Ihler
2012	A	`conf`	Belief Propagation for Structured Decision Making. UAI Qiang Liu, Alexander Ihler
2012	A*	`conf`	Distributed Parameter Estimation via Pseudo-likelihood . ICML Qiang Liu, Alexander Ihler
2012	J	`jnl`	Fast Planar Correlation Clustering for Image Segmentation CoRR Julian Yarkony, Alexander Ihler, Charless C. Fowlkes
2012	—	`conf`	Fast Planar Correlation Clustering for Image Segmentation. ECCV (6) Julian Yarkony, Alexander Ihler, Charless C. Fowlkes
2012	J	`jnl`	Join-graph based cost-shifting schemes CoRR Alexander Ihler, Natalia Flerova, Rina Dechter, Lars Otten
2012	A	`conf`	Join-graph based cost-shifting schemes. UAI Alexander Ihler, Natalia Flerova, Rina Dechter, Lars Otten
2012	J	`jnl`	Negative Tree Reweighted Belief Propagation CoRR Qiang Liu, Alexander Ihler
2012	J	`jnl`	Understanding Errors in Approximate Distributed Latent Dirichlet Allocation. IEEE Trans. Knowl. Data Eng. Alexander Ihler, David Newman
2012	J	`jnl`	Variational Algorithms for Marginal MAP CoRR Qiang Liu, Alexander Ihler
2012	—	`conf`	Variational Inference for Crowdsourcing. NIPS Qiang Liu, Jian Peng, Alexander Ihler
2011	A*	`conf`	Bounding the Partition Function using Holder's Inequality. ICML Qiang Liu, Alexander Ihler
2011	A*	`conf`	Fast Parallel and Adaptive Updates for Dual-Decomposition Solvers. AAAI Özgür Sümer, Umut A. Acar, Alexander Ihler, Ramgopal R. Mettu
2011	J	`jnl`	Fault Identification Via Nonparametric Belief Propagation. IEEE Trans. Signal Process. Danny Bickson, Dror Baron, Alexander Ihler, Harel Avissar, Danny Dolev
2011	A	`conf`	Learning Scale Free Networks by Reweighted L1 regularization. AISTATS Qiang Liu, Alexander Ihler
2011	A	`conf`	Multicore Gibbs Sampling in Dense, Unstructured Graphs. AISTATS Tianbing Xu, Alexander Ihler
2011	A	`conf`	Planar Cycle Covering Graphs. UAI Julian Yarkony, Alexander Ihler, Charless C. Fowlkes
2011	A	`conf`	Revisiting MAP Estimation, Message Passing and Perfect Graphs. AISTATS James R. Foulds, Nicholas Navaroli, Padhraic Smyth, Alexander Ihler
2011	—	`conf`	Session MP3a: Graphical models in signal processing II. ACSCC Alexander Ihler
2011	A	`conf`	Tightening MRF Relaxations with Planar Subproblems. UAI Julian Yarkony, Ragib Morshed, Alexander Ihler, Charless C. Fowlkes
2011	A	`conf`	Variational Algorithms for Marginal MAP. UAI Qiang Liu, Alexander Ihler
2010	A*	`conf`	Covering trees and lower-bounds on quadratic assignment. CVPR Julian Yarkony, Charless C. Fowlkes, Alexander Ihler
2010	J	`jnl`	Estimating replicate time shifts using Gaussian process regression. Bioinform. Qiang Liu, Kevin K. Lin, Bogi Andersen, Padhraic Smyth, Alexander Ihler
2010	A	`conf`	Learning with Blocks: Composite Likelihood and Contrastive Divergence. AISTATS Arthur U. Asuncion, Qiang Liu, Alexander Ihler, Padhraic Smyth
2010	A	`conf`	Negative Tree Reweighted Belief Propagation. UAI Qiang Liu, Alexander Ihler
2009	J	`jnl`	Bayesian detection of non-sinusoidal periodic patterns in circadian expression data. Bioinform. Darya Chudova, Alexander Ihler, Kevin K. Lin, Bogi Andersen, Padhraic Smyth
2009	J	`jnl`	Distributed Fault Identification via Non-parametric Belief Propagation CoRR Danny Bickson, Harel Avissar, Danny Dolev, Stephen P. Boyd, Alexander Ihler, Dror Baron
2009	A	`conf`	Particle Belief Propagation. AISTATS Alexander Ihler, David A. McAllester
2009	—	`conf`	Particle-based Variational Inference for Continuous Systems. NIPS Alexander Ihler, Andrew J. Frank, Padhraic Smyth
2008	A*	`conf`	Fast collapsed gibbs sampling for latent dirichlet allocation. KDD Ian Porteous, David Newman, Alexander Ihler, Arthur U. Asuncion, Padhraic Smyth, Max Welling
2008	—	`conf`	Probabilistic Analysis of a Large-Scale Urban Traffic Sensor Data Set. KDD Workshop on Knowledge Discovery from Sensor Data Jon Hutchins, Alexander Ihler, Padhraic Smyth
2007	A	`conf`	Accuracy Bounds for Belief Propagation. UAI Alexander Ihler
2007	—	`conf`	Efficient Bayesian Inference for Dynamically Changing Graphs. NIPS Özgür Sümer, Umut A. Acar, Alexander Ihler, Ramgopal R. Mettu
2006	A*	`conf`	Adaptive event detection with time-varying poisson processes. KDD Alexander Ihler, Jon Hutchins, Padhraic Smyth