Tommi S. Jaakkola

Stefanie Jegelka

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Grounding Language for Transfer in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Karthik Narasimhan

J. Artif. Intell. Res., 2018

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization.

[BibT_eX]

[DOI]

CoRR, 2018

Game-Theoretic Interpretability for Temporal Modeling.

[BibT_eX]

[DOI]

Guang-He Lee

CoRR, 2018

On the Robustness of Interpretability Methods.

[BibT_eX]

[DOI]

CoRR, 2018

The Variational Homoencoder: Learning to learn high capacity generative models from few examples.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Towards Robust Interpretability with Self-Explaining Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Junction Tree Variational Autoencoder for Molecular Graph Generation.

[BibT_eX]

[DOI]

Wengong Jin

Proceedings of the 35th International Conference on Machine Learning, 2018

Gromov-Wasserstein Alignment of Word Embedding Spaces.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Structured Optimal Transport.

[BibT_eX]

[DOI]

Stefanie Jegelka

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., August, 2017

Aspect-augmented Adversarial Networks for Domain Adaptation.

[BibT_eX]

[DOI]

Yuan Zhang

Trans. Assoc. Comput. Linguistics, 2017

Deep Transfer in Reinforcement Learning by Language Grounding.

[BibT_eX]

[DOI]

Karthik Narasimhan

CoRR, 2017

Style Transfer from Non-Parallel Text by Cross-Alignment.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Local Aggregative Games.

[BibT_eX]

[DOI]

Vikas K. Garg

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Sequence to Better Sequence: Continuous Revision of Combinatorial Structures.

[BibT_eX]

[DOI]

Jonas Mueller

Proceedings of the 34th International Conference on Machine Learning, 2017

Deriving Neural Architectures from Sequence and Graph Kernels.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Tree-structured decoding with doubly-recurrent neural networks.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

A causal framework for explaining the predictions of black-box sequence-to-sequence models.

[BibT_eX]

[DOI]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Learning Optimal Interventions.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Word Embeddings as Metric Recovery in Semantic Spaces.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2016

Structured Prediction: From Gaussian Perturbations to Linear-Time Principled Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Learning Tree Structured Potential Games.

[BibT_eX]

[DOI]

Vikas K. Garg

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Ten Pairs to Tag - Multilingual POS Tagging via Coarse Mapping between Embeddings.

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2016, 2016

Semi-supervised Question Retrieval with Gated Convolutions.

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2016, 2016

Learning Population-Level Diffusions with Generative RNNs.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Rationalizing Neural Predictions.

[BibT_eX]

[DOI]

Tao Lei

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Learning to refine text based recommendations.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

CRAFT: ClusteR-specific Assorted Feature selecTion.

[BibT_eX]

[DOI]

Vikas K. Garg

Cynthia Rudin

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

An Unsupervised Method for Uncovering Morphological Chains.

[BibT_eX]

[DOI]

Karthik Narasimhan

Trans. Assoc. Comput. Linguistics, 2015

Denoising Bodies to Titles: Retrieving Similar Questions with Recurrent Convolutional Models.

[BibT_eX]

[DOI]

Lluís Màrquez i Villodre

CoRR, 2015

Steps Toward Deep Kernel Methods from Infinite Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2015

Word, graph and manifold embedding from Markov processes.

[BibT_eX]

[DOI]

CoRR, 2015

Statistical Learning under Nonstationary Mixing Processes.

[BibT_eX]

[DOI]

Steve Hanneke

Liu Yang

CoRR, 2015

Principal Differences Analysis: Interpretable Characterization of Differences between Distributions.

[BibT_eX]

[DOI]

Jonas Mueller

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

From random walks to distances on unweighted graphs.

[BibT_eX]

[DOI]

Yi Sun

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Molding CNNs for text: non-linear, non-consecutive convolutions.

[BibT_eX]

[DOI]

Tao Lei

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Metric recovery from directed unweighted graphs.

[BibT_eX]

[DOI]

Yi Sun

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Controlling privacy in recommender systems.

[BibT_eX]

[DOI]

Yu Xin

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On Measure Concentration of Random Maximum A-Posteriori Perturbations.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

A Unified Framework for Consistency of Regularized Loss Minimizers.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Greed is Good if Randomized: New Inference for Dependency Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Active Boundary Annotation using Random MAP Perturbations.

[BibT_eX]

[DOI]

Subhransu Maji

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Learning with Maximum A-Posteriori Perturbation Models.

[BibT_eX]

[DOI]

Andreea Gane

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Low-Rank Tensors for Scoring Dependency Structures.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Inverse Covariance Estimation for High-Dimensional Data in Linear Time and Space: Spectral Methods for Riccati and Sparse Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations.

[BibT_eX]

[DOI]

Subhransu Maji

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Primal-Dual methods for sparse constrained matrix completion.

[BibT_eX]

[DOI]

Yu Xin

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation.

[BibT_eX]

[DOI]

J. Zico Kolter

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Special Issue on the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010).

[BibT_eX]

[DOI]

Teemu Roos

Petri Myllymäki

Int. J. Approx. Reason., 2012

Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (2005)

[BibT_eX]

[DOI]

Fahiem Bacchus

CoRR, 2012

Lineage-based identification of cellular states and expression programs.

[BibT_eX]

[DOI]

Bioinform., 2012

Convergence Rate Analysis of MAP Coordinate Minimization Algorithms.

[BibT_eX]

[DOI]

Ofer Meshi

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

On the Partition Function and Random Maximum A-Posteriori Perturbations.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

2010

Learning Bayesian Network Structure using LP Relaxations.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Discovering homotypic binding events at high spatial resolution.

[BibT_eX]

[DOI]

Yuchun Guo

Georgios Papachristoudis

Bioinform., 2010

More data means less inference: A pseudo-max approach to structured learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Learning Efficiently with Approximate Inference via Dual Losses.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing.

[BibT_eX]

[DOI]

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Dual Decomposition for Parsing with Non-Projective Head Automata.

[BibT_eX]

[DOI]

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Collaborative future event recommendation.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Tree Block Coordinate Descent for MAP in Graphical Models.

[BibT_eX]

[DOI]

David A. Sontag

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2008

Tightening LP Relaxations for MAP using Message Passing.

[BibT_eX]

[DOI]

Proceedings of the UAI 2008, 2008

Clusters and Coarse Partitions in LP Relaxations.

[BibT_eX]

[DOI]

David A. Sontag

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Automated Discovery of Functional Generality of Human Gene Expression Programs.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2007

Predictive Discretization during Model Selection.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Approximate inference using conditional entropy decompositions.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Convergent Propagation Algorithms via Oriented Trees.

[BibT_eX]

[DOI]

Proceedings of the UAI 2007, 2007

New Outer Bounds on the Marginal Polytope.

[BibT_eX]

[DOI]

David A. Sontag

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

Tractable Bayesian learning of tree belief networks.

[BibT_eX]

[DOI]

Marina Meila

Stat. Comput., 2006

Modeling the Combinatorial Functions of Multiple Transcription Factors.

[BibT_eX]

[DOI]

J. Comput. Biol., 2006

Parameter Expanded Variational Bayesian Methods.

[BibT_eX]

[DOI]

Yuan (Alan) Qi

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Game Theoretic Algorithms for Protein-DNA binding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Approximate inference using planar graph decomposition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Semi-supervised analysis of gene expression profiles for lineage-specific development in the <i>Caenorhabditis elegans</i> embryo.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

Data-Dependent Regularization.

[BibT_eX]

[DOI]

Proceedings of the Semi-Supervised Learning, 2006

2005

MAP estimation via agreement on trees: message-passing and linear programming.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2005

A new class of upper bounds on the log partition function.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2005

Time Series Analysis of Gene Expression and Location Data.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2005

MAP estimation via agreement on (hyper)trees: Message-passing and linear programming

[BibT_eX]

[DOI]

CoRR, 2005

Using term informativeness for named entity detection.

[BibT_eX]

[DOI]

Jason D. M. Rennie

Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Focused Inference.

[BibT_eX]

[DOI]

Rómer Rosales

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Tree consistency and bounds on the performance of the max-product algorithm and its generalizations.

[BibT_eX]

[DOI]

Stat. Comput., 2004

Physical Network Models.

[BibT_eX]

[DOI]

Trey Ideker

J. Comput. Biol., 2004

Maximum-Margin Matrix Factorization.

[BibT_eX]

[DOI]

Jason D. M. Rennie

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices.

[BibT_eX]

[DOI]

Noga Alon

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Distributed Information Regularization on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Analysis of Signaling Pathways in Human T-Cells Using Bayesian Network Modeling of Single Cell Data.

[BibT_eX]

[DOI]

Douglas A. Lauffenburger

Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2003

Tree-based reparameterization framework for analysis of sum-product and related algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2003

Continuous Representations of Time-Series Gene Expression Data.

[BibT_eX]

[DOI]

J. Comput. Biol., 2003

K-ary Clustering with Optimal Leaf Ordering for Gene Expression Data.

[BibT_eX]

[DOI]

Bioinform., 2003

On Information Regularization.

[BibT_eX]

[DOI]

Proceedings of the UAI '03, 2003

Physical network models and multi-source data integration.

[BibT_eX]

[DOI]

Proceedings of the Sventh Annual International Conference on Computational Biology, 2003

Bias-Corrected Bootstrap and Model Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Linear Dependent Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Online Learning of Non-stationary Sequences.

[BibT_eX]

[DOI]

Claire Monteleoni

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Weighted Low-Rank Approximations.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2003

Tree-reweighted belief propagation algorithms and approximate ML estimation by pseudo-moment matching.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002

Bayesian Methods for Elucidating Genetic Regulatory Networks.

[BibT_eX]

[DOI]

Alexander J. Hartemink

Richard A. Young

IEEE Intell. Syst., 2002

Unsupervised Active Learning in Large Domains.

[BibT_eX]

[DOI]

Proceedings of the UAI '02, 2002

Continuation Methods for Mixing Heterogenous Sources.

[BibT_eX]

[DOI]

Proceedings of the UAI '02, 2002

A new approach to analyzing gene expression time series data.

[BibT_eX]

[DOI]

Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

Combining Location and Expression Data for Principled Discovery of Genetic Regulatory Network Models.

[BibT_eX]

[DOI]

Alexander J. Hartemink

Richard A. Young

Proceedings of the 7th Pacific Symposium on Biocomputing, 2002

Exact MAP Estimates by (Hyper)tree Agreement.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Information Regularization with Partially Labeled Data.

[BibT_eX]

[DOI]

Martin Szummer

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

On the Dirichlet Prior and Bayesian Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Using Graphical Models and Genomic Expression Data to Statistically Validate Models of Genetic Regulatory Networks.

[BibT_eX]

[DOI]

Alexander J. Hartemink

Richard A. Young

Proceedings of the 6th Pacific Symposium on Biocomputing, 2001

Tree-based reparameterization for approximate inference on loopy graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Partially labeled classification with Markov random walks.

[BibT_eX]

[DOI]

Martin Szummer

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Active Information Retrieval.

[BibT_eX]

[DOI]

Hava T. Siegelmann

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Fast optimal leaf ordering for hierarchical clustering.

[BibT_eX]

Ziv Bar-Joseph

Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

2000

Bayesian parameter estimation via variational methods.

[BibT_eX]

[DOI]

Stat. Comput., 2000

Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms.

[BibT_eX]

[DOI]

Mach. Learn., 2000

A Discriminative Framework for Detecting Remote Protein Homologies.

[BibT_eX]

[DOI]

Mark Diekhans

J. Comput. Biol., 2000

Feature Selection and Dualities in Maximum Entropy Discrimination.

[BibT_eX]

[DOI]

Tony Jebara

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Kernel Expansions with Unlabeled Examples.

[BibT_eX]

[DOI]

Martin Szummer

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Sequentially Fitting "Inclusive" Trees for Inference in Noisy-OR Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

An Introduction to Variational Methods for Graphical Models.

[BibT_eX]

[DOI]

Mach. Learn., 1999

Variational Probabilistic Inference and the QMR-DT Network.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 1999

Maximum Entropy Discrimination.

[BibT_eX]

[DOI]

Marina Meila

Tony Jebara

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Using the Fisher Kernel Method to Detect Remote Protein Homologies.

[BibT_eX]

[DOI]

Mark Diekhans

Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology, 1999

Probabilistic kernel regression models.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998

Exploiting Generative Models in Discriminative Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

An Introduction to Variational Methods for Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Learning in Graphical Models, 1998

Improving the Mean Field Approximation Via the Use of Mixture Distributions.

[BibT_eX]

[DOI]

Proceedings of the Learning in Graphical Models, 1998

1997

Approximating Posterior Distributions in Belief Networks Using Mixtures.

[BibT_eX]

[DOI]

Christopher M. Bishop

Neil D. Lawrence

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996

Mean Field Theory for Sigmoid Belief Networks.

[BibT_eX]

[DOI]

Lawrence K. Saul

J. Artif. Intell. Res., 1996

Computing upper and lower bounds on likelihoods in intractable networks.

[BibT_eX]

[DOI]

Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Recursive Algorithms for Approximating Probabilities in Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995

Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks.

[BibT_eX]

[DOI]

Lawrence K. Saul

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994

On the Convergence of Stochastic Iterative Dynamic Programming Algorithms.

[BibT_eX]

[DOI]

Satinder P. Singh

Neural Comput., 1994

Reinforcement Learning with Soft State Aggregation.

[BibT_eX]

[DOI]

Satinder Singh

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems.

[BibT_eX]

[DOI]

Satinder Singh

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Learning Without State-Estimation in Partially Observable Markovian Decision Processes.

[BibT_eX]

[DOI]

Satinder P. Singh