NIPS Proceedings
^{β}
Books
Tommi Jaakkola
23 Papers
Towards Robust Interpretability with Self-Explaining Neural Networks
(2018)
Local Aggregative Games
(2017)
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
(2017)
Style Transfer from Non-Parallel Text by Cross-Alignment
(2017)
Learning Tree Structured Potential Games
(2016)
From random walks to distances on unweighted graphs
(2015)
Principal Differences Analysis: Interpretable Characterization of Differences between Distributions
(2015)
Controlling privacy in recommender systems
(2014)
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions
(2013)
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations
(2013)
Active Information Retrieval
(2001)
Partially labeled classification with Markov random walks
(2001)
Tree-based reparameterization for approximate inference on loopy graphs
(2001)
Kernel Expansions with Unlabeled Examples
(2000)
Sequentially Fitting ``Inclusive'' Trees for Inference in Noisy-OR Networks
(2000)
Maximum Entropy Discrimination
(1999)
Exploiting Generative Models in Discriminative Classifiers
(1998)
Approximating Posterior Distributions in Belief Networks Using Mixtures
(1997)
Recursive Algorithms for Approximating Probabilities in Graphical Models
(1996)
Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks
(1995)
Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems
(1994)
Reinforcement Learning with Soft State Aggregation
(1994)
Convergence of Stochastic Iterative Dynamic Programming Algorithms
(1993)