Joshua B. Tenenbaum

Joshua B. Tenenbaum

31 Papers

Learning to Learn with Compound HD Models (2011)

Dynamic Infinite Relational Model for Time-varying Relational Data Analysis (2010)

Nonparametric Bayesian Policy Priors for Reinforcement Learning (2010)

Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model (2009)

Help or Hinder: Bayesian Models of Social Goal Inference (2009)

Modelling Relational Data using Bayesian Clustered Tensor Factorization (2009)

Perceptual Multistability as Markov Chain Monte Carlo Inference (2009)

A Bayesian Framework for Cross-Situational Word-Learning (2007)

Learning and using relational theories (2007)

Causal inference in sensorimotor integration (2006)

Combining causal and similarity-based reasoning (2006)

Learning annotated hierarchies from relational data (2006)

Multiple timescales and uncertainty in motor adaptation (2006)

Bayesian models of human action understanding (2005)

Integrating Topics and Syntax (2004)

Parametric Embedding for Class Visualization (2004)

From Algorithmic to Subjective Randomness (2003)

Hierarchical Topic Models and the Nested Chinese Restaurant Process (2003)

Semi-Supervised Learning with Trees (2003)

Bayesian Models of Inductive Generalization (2002)

Dynamical Causal Learning (2002)

Global Versus Local Methods in Nonlinear Dimensionality Reduction (2002)

Theory-Based Causal Inference (2002)

Using Vocabulary Knowledge in Bayesian Multinomial Estimation (2001)

Structure Learning in Human Causal Induction (2000)

Rules and Similarity in Concept Learning (1999)

Bayesian Modeling of Human Concept Learning (1998)

Mapping a Manifold of Perceptual Observations (1997)

Separating Style and Content (1996)

Learning the Structure of Similarity (1995)

Factorial Learning by Clustering Features (1994)