← All authors Michael I. Jordan University of California, Berkeley (from arXiv:2511.00727, 2025) · ORCID · OpenAlex
152 papers in scope · 151 published · 1 on the econ.EM arXiv · 64,597 citations · h-index 62 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Ana Armendariz Peter J. Bickel Federico Zincenko George Gui Zhexiao Lin Licong Lin Yang Xue-lin Sung Jae Jun Martin Huber Susan Athey Aldo Gael Carranza Peng Ding Ruoxuan Xiong Nichole Austin Erin Strumpf Guido W. Imbens Sunny Karim Vadim Sokolov Maria Nareklishvili Nicholas G. Polson Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (1 of 152)
Minimum Volume Conformal Sets for Multivariate Regression
published 2026 · Journal of the American Statistical Association
with Sacha Braun, Liviu Aolaritei, Francis Bach
An Overview of Large Language Models for Statisticians
published 2026 · The American Statistician · 4 citations
with Wenlong Ji, Weizhe Yuan, Emily Getzen, Kyunghyun Cho, Song Mei, Jason Weston, Weijie Su, Jing Xu, Linjun Zhang
working paper 2025 · arXiv
Decoding of image properties from single-trial visual evoked potentials recorded by ultra-high-density EEG
published 2025 · Scientific Reports · 3 citations
with Sebastian Sieghartsleitner, Leonhard Schreiner, Johannes Grünwald, Rossella Spataro, Josef Scharinger, Christoph Guger
Learn then test: Calibrating predictive algorithms to achieve risk control
published 2025 · The Annals of Applied Statistics · 18 citations · first circulated 2021
Transfer Q-learning for finite-horizon Markov decision processes
published 2025 · Electronic Journal of Statistics · 2 citations
Valid Inference After Causal Discovery
published 2024 · Journal of the American Statistical Association · 5 citations · first circulated 2022
with Paula Gradu, Tijana Zrnic, Zhaoran Wang
Incentive-Aware Recommender Systems in Two-Sided Markets
published 2024 · ACM Transactions on Recommender Systems · 2 citations · first circulated 2022
with Xiaowu Dai, Wenlu Xu, Yuan Qi, Qi Qi
Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback
published 2024 · Operations Research · 5 citations · first circulated 2022
Instance-Optimality in Optimal Value Estimation: Adaptivity via Variance-Reduced Q -Learning
published 2024 · IEEE Transactions on Information Theory · 2 citations · first circulated 2021
Mapping of the central sulcus using non-invasive ultra-high-density brain recordings
published 2024 · Scientific Reports · 22 citations
with Leonhard Schreiner, Sebastian Sieghartsleitner, Christoph Kapeller, Harald Pretl, Kyousuke Kamada, Priscella Asman, Nuri F. Ince, Kai J. Miller, Christoph Guger
Reinforcement Learning in Latent Heterogeneous Environments
published 2024 · Journal of the American Statistical Association · 6 citations
Post-selection inference via algorithmic stability
published 2023 · The Annals of Statistics · 15 citations · first circulated 2020
with Tijana Zrnic
Competition, Alignment, and Equilibria in Digital Marketplaces
published 2023 · Proceedings of the AAAI Conference on Artificial Intelligence · 5 citations · first circulated 2022
with Meena Jagadeesan, Nika Haghtalab
Local exchangeability
published 2023 · Bernoulli · 1 citations
Provably Efficient Reinforcement Learning with Linear Function Approximation
published 2023 · Mathematics of Operations Research · 219 citations · first circulated 2019
Learning Equilibria in Matching Markets with Bandit Feedback
published 2023 · Journal of the ACM · 3 citations
with Meena Jagadeesan, Alexander Wei, Zhaoran Wang, Jacob Steinhardt
Bayesian Robustness: A Nonasymptotic Viewpoint
published 2023 · Journal of the American Statistical Association · 5 citations · first circulated 2019
with Kush Bhatia, Yi-An Ma, Anca D. Dragan, Peter L. Bartlett
Decision Intelligence and Analytics for Online Marketplaces
published 2022 · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 3 citations
with Zhiwei Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo
The 5th Artificial Intelligence of Things (AIoT) Workshop
published 2022 · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
with Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani Srivastava, Victor Bahl
Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning
published 2022 · Proceedings of the 23rd ACM Conference on Economics and Computation · 6 citations
Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics (with Discussion)
published 2022 · Bayesian Analysis · 9 citations · first circulated 2018
Robust Learning of Optimal Auctions
published 2021 · Neural Information Processing Systems · 1 citations
On Component Interactions in Two-Stage Recommender Systems
published 2021 · Neural Information Processing Systems · 11 citations
with Jiri Hron, Karl Krauth, Niki Kilbertus
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism
published 2021 · International Conference on Machine Learning · 3 citations · first circulated 2020
with Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Ken Goldberg, Joseph E. Gonzalez
Learning from eXtreme Bandit Feedback
published 2021 · Proceedings of the AAAI Conference on Artificial Intelligence · 12 citations
with Romain Lopez, Inderjit S. Dhillon
Robustness Guarantees for Mode Estimation with an Application to Bandits
published 2021 · Proceedings of the AAAI Conference on Artificial Intelligence · 1 citations
with Aldo Pacchiano, Heinrich Jiang
Is there an analog of Nesterov acceleration for gradient-based MCMC?
published 2021 · Bernoulli · 44 citations · first circulated 2019
with Yi-An Ma, Niladri S. Chatterji, Xiang Cheng, Nicolas Flammarion, Peter L. Bartlett
A Lyapunov Analysis of Accelerated Methods in Optimization
published 2021 · Journal of Machine Learning Research · 43 citations
with Ashia Wilson, Ben Recht
no link
Singularity, misspecification and the convergence rate of EM
published 2020 · The Annals of Statistics · 40 citations · first circulated 2018
On Approximate Thompson Sampling with Langevin Algorithms.
published 2020 · International Conference on Machine Learning · 6 citations
with Eric Mazumdar, Aldo Pacchiano, Yi-An Ma, Peter L. Bartlett
Transferable Calibration with Lower Bias and Variance in Domain Adaptation
published 2020 · Neural Information Processing Systems · 19 citations
with Ximei Wang, Mingsheng Long, Jianmin Wang
On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration
published 2020 · Conference on Learning Theory · 21 citations
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
published 2020 · International Conference on Machine Learning · 74 citations · first circulated 2019
with Chi Jin, Praneeth Netrapalli
Continuous-time Lower Bounds for Gradient-based Algorithms
published 2020 · International Conference on Machine Learning · 4 citations
with Michael Muehlebach
The Power of Batching in Multiple Hypothesis Testing
published 2020 · International Conference on Artificial Intelligence and Statistics · 4 citations · first circulated 2019
Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter.
published 2020 · International Conference on Artificial Intelligence and Statistics · 6 citations · first circulated 2019
with Wenshuo Guo, Nhat Ho
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information
published 2020 · International Conference on Artificial Intelligence and Statistics · 2 citations
with Esther Rolf, Benjamin Recht
ML-LOO: Detecting Adversarial Examples with Feature Attribution
published 2020 · Proceedings of the AAAI Conference on Artificial Intelligence · 89 citations · first circulated 2019
with Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang
Cost-Effective Incentive Allocation via Structured Counterfactual Inference
published 2020 · Proceedings of the AAAI Conference on Artificial Intelligence · 17 citations · first circulated 2019
with Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Yuan Qi, Le Song
LS-Tree: Model Interpretation When the Data Are Linguistic
published 2020 · Proceedings of the AAAI Conference on Artificial Intelligence · 13 citations · first circulated 2019
with Jianbo Chen
Fundamental limits of detection in the spiked Wigner model
published 2020 · The Annals of Statistics · 38 citations
with A. El Alaoui, Florent Krząkała
Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm
published 2020 · Neural Information Processing Systems · 18 citations
Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations
published 2020 · Neural Information Processing Systems · 18 citations
no link
Decision-Making with Auto-Encoding Variational Bayes
published 2020 · Neural Information Processing Systems · 23 citations
with Romain Lopez, Pierre Boyeau, Nir Yosef, Jeffrey Regier
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks
published 2019 · Neural Information Processing Systems · 137 citations
with Ximei Wang, Ying Jin, Mingsheng Long, Jianmin Wang
no link
A unified treatment of multiple testing with prior knowledge using the p-filter
published 2019 · The Annals of Statistics · 21 citations · first circulated 2017
Function-Specific Mixing Times and Concentration Away from Equilibrium
published 2019 · Bayesian Analysis · 1 citations
Theoretically Principled Trade-off between Robustness and Accuracy
published 2019 · International Conference on Machine Learning · 924 citations
with Yaodong Yu, Jiantao Jiao, Eric P. Xing, Laurent El Ghaoui
Bridging Theory and Algorithm for Domain Adaptation.
published 2019 · International Conference on Machine Learning · 229 citations
with Yuchen Zhang, Tianle Liu, Mingsheng Long
Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers
published 2019 · International Conference on Machine Learning · 177 citations
with Hong Liu, Mingsheng Long, Jianmin Wang
no link
On Efficient Optimal Transport: An Analysis of Greedy and Accelerated Mirror Descent Algorithms
published 2019 · International Conference on Machine Learning · 45 citations
with Tianyi Lin, Nhat Ho
A Dynamical Systems Perspective on Nesterov Acceleration
published 2019 · International Conference on Machine Learning · 36 citations
with Michael Muehlebach
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
published 2019 · International Conference on Machine Learning · 15 citations · first circulated 2018
with Runjing Liu, Jeffrey Regier, Nilesh Tripuraneni, Jon McAuliffe
Acceleration via Symplectic Discretization of High-Resolution Differential Equations
published 2019 · Neural Information Processing Systems · 44 citations
with Bin Shi, Simon S. Du, Weijie Su
A sequential algorithm for false discovery rate control on directed acyclic graphs
published 2018 · Biometrika · 21 citations
Optimal Rates and Tradeoffs in Multiple Testing
published 2018 · Statistica Sinica · 6 citations
RLlib: Abstractions for Distributed Reinforcement Learning
published 2018 · International Conference on Machine Learning · 332 citations · first circulated 2017
with Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph E. Gonzalez, Ion Stoica
Posteriors, conjugacy, and exponential families for completely random measures
published 2018 · Bernoulli · 7 citations · first circulated 2014
SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate
published 2018 · International Conference on Machine Learning · 21 citations
Communication-Efficient Distributed Statistical Inference
published 2018 · Journal of the American Statistical Association · 446 citations · first circulated 2016
with Jason D. Lee, Yun Yang
Rejoinder
published 2018 · Journal of the American Statistical Association
Covariances, Robustness, and Variational Bayes
published 2018 · Journal of Machine Learning Research · 58 citations · first circulated 2017
Theoretical guarantees for EM under misspecified Gaussian mixture models
published 2018 · Neural Information Processing Systems · 10 citations
no link
On kernel methods for covariates that are rankings
published 2018 · Electronic Journal of Statistics
Generalized Zero-Shot Learning with Deep Calibration Network
published 2018 · Neural Information Processing Systems · 169 citations
with Shichen Liu, Mingsheng Long, Jianmin Wang
no link
Stochastic Cubic Regularization for Fast Nonconvex Optimization
published 2018 · Neural Information Processing Systems · 63 citations · first circulated 2017
with Nilesh Tripuraneni, Mitchell Stern, Chi Jin, Jeffrey Regier
Kernel feature selection via conditional covariance minimization
published 2017 · Neural Information Processing Systems · 56 citations
Minimax Optimal Procedures for Locally Private Estimation
published 2017 · Journal of the American Statistical Association · 24 citations
How to escape saddle points efficiently
published 2017 · International Conference on Machine Learning · 236 citations
with Chi Jin, Rong Ge, Praneeth Netrapalli, Sham M. Kakade
Underdamped Langevin MCMC: A non-asymptotic analysis
published 2017 · Conference on Learning Theory · 98 citations
with Xiang Cheng, Niladri S. Chatterji, Peter L. Bartlett
On Gradient-Based Optimization
published 2017 · ACM SIGMETRICS Performance Evaluation Review · 3 citations
Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators
published 2017 · Electronic Journal of Statistics · 38 citations · first circulated 2015
More powerful and flexible rules for online FDR control with memory and weights
published 2017 · Neural Information Processing Systems
no link
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
published 2017 · Neural Information Processing Systems · 6 citations
with Jeffrey Regier, Jon McAuliffe
Mining Massive Amounts of Genomic Data: A Semiparametric Topic Modeling Approach
published 2016 · Journal of the American Statistical Association · 7 citations
with Ethan X. Fang, Min-Dian Li, Han Liu
Latent Marked Poisson Process with Applications to Object Segmentation
published 2016 · Bayesian Analysis · 3 citations
with Sindhu Ghanta, Jennifer Dy, Donglin Niu
On the computational complexity of high-dimensional Bayesian variable selection
published 2016 · The Annals of Statistics · 138 citations · first circulated 2015
A kernelized stein discrepancy for goodness-of-fit tests
published 2016 · International Conference on Machine Learning · 166 citations
with Qiang Liu, Jason D. Lee
Gradient Descent Only Converges to Minimizers
published 2016 · Conference on Learning Theory · 386 citations
with Jason D. Lee, Max Simchowitz, Benjamin Recht
A Linearly-Convergent Stochastic L-BFGS Algorithm
published 2016 · International Conference on Artificial Intelligence and Statistics · 113 citations · first circulated 2015
with Philipp Moritz, Robert Nishihara
Asymptotic behavior of $\ell_p$-based Laplacian regularization in semi-supervised learning
published 2016 · Conference on Learning Theory · 24 citations
The Constrained Laplacian Rank Algorithm for Graph-Based Clustering
published 2016 · Proceedings of the AAAI Conference on Artificial Intelligence · 837 citations
with Feiping Nie, Xiaoqian Wang, Heng Huang
Less than a Single Pass: Stochastically Controlled Stochastic Gradient.
published 2016 · International Conference on Artificial Intelligence and Statistics · 51 citations
Optimal Rates for Zero-Order Convex Optimization: The Power of Two Function Evaluations
published 2015 · IEEE Transactions on Information Theory · 388 citations · first circulated 2013
Matrix-Variate Dirichlet Process Priors with Applications
published 2014 · Bayesian Analysis · 6 citations
with Zhihua Zhang, Dakan Wang, Guang Dai
A Scalable Bootstrap for Massive Data
published 2014 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 400 citations · first circulated 2011
with Ariel Kleiner, Ameet Talwalkar, Purnamrita Sarkar
Particle gibbs with ancestor sampling
published 2014 · Journal of Machine Learning Research · 132 citations · first circulated 2012
with Fredrik Lindsten, Thomas B. Schön
Nonparametric link prediction in large scale dynamic networks
published 2014 · Electronic Journal of Statistics · 76 citations · first circulated 2012
with Purnamrita Sarkar, Deepayan Chakrabarti
Feature Allocations, Probability Functions, and Paintboxes
published 2013 · Bayesian Analysis · 61 citations
On statistics, computation and scalability
published 2013 · Bernoulli · 103 citations
Cluster and Feature Modeling from Combinatorial Stochastic Processes
published 2013 · Statistical Science · 46 citations
Bayesian semiparametric Wiener system identification
published 2013 · Automatica · 60 citations
with Fredrik Lindsten, Thomas B. Schön
Cluster Forests
published 2013 · Computational Statistics & Data Analysis · 43 citations
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods
published 2012 · Neural Information Processing Systems · 27 citations
no link
A semiparametric Bayesian approach to Wiener system identification
published 2012 · IFAC Proceedings Volumes · 10 citations
with Fredrik Lindsten, Thomas B. Schön
Beta Processes, Stick-Breaking and Power Laws
published 2012 · Bayesian Analysis · 81 citations · first circulated 2011
Learning Low-Dimensional Signal Models
published 2011 · IEEE Signal Processing Magazine · 32 citations
Bayesian Nonparametric Inference of Switching Dynamic Linear Models
published 2011 · IEEE Transactions on Signal Processing · 238 citations
with Emily B. Fox, Erik B. Sudderth, Alan S. Willsky
Tree-Structured Stick Breaking for Hierarchical Data
published 2010 · Neural Information Processing Systems · 137 citations
with Zoubin Ghahramani, Ryan P. Adams
Variational Inference over Combinatorial Spaces
published 2010 · Neural Information Processing Systems · 12 citations
with Alexandre Bouchard-Côté
no link
Support union recovery in high-dimensional multivariate regression
published 2010 · The Annals of Statistics · 367 citations · first circulated 2008
Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization
published 2010 · IEEE Transactions on Information Theory · 674 citations · first circulated 2007
Major Advances and Emerging Developments of Graphical Models [From the Guest Editors]
published 2010 · IEEE Signal Processing Magazine · 15 citations
Bayesian Nonparametric Methods for Learning Markov Switching Processes
published 2010 · IEEE Signal Processing Magazine · 91 citations
with Emily B. Fox, Erik B. Sudderth, Alan S. Willsky
Kernel dimension reduction in regression
published 2009 · The Annals of Statistics · 298 citations
Joint covariate selection and joint subspace selection for multiple classification problems
published 2009 · Statistics and Computing · 446 citations
with Guillaume Obozinski, Ben Taskar
Nonparametric Bayesian Identification of Jump Systems with Sparse Dependencies
published 2009 · IFAC Proceedings Volumes · 5 citations
with Emily B. Fox, Erik B. Sudderth, Alan S. Willsky
On Optimal Quantization Rules for Some Problems in Sequential Decentralized Detection
published 2008 · IEEE Transactions on Information Theory · 9 citations
Hierarchical Dirichlet Processes
published 2006 · Journal of the American Statistical Association · 3573 citations
Comment
published 2006 · Statistical Science · 2 citations
with Peter L. Bartlett, Jon McAuliffe
Log-determinant relaxation for approximate inference in discrete Markov random fields
published 2006 · IEEE Transactions on Signal Processing · 99 citations
Variational inference for Dirichlet process mixtures
published 2006 · Bayesian Analysis · 1482 citations
Convexity, Classification, and Risk Bounds
published 2006 · Journal of the American Statistical Association · 1058 citations
with Peter L. Bartlett, Jon McAuliffe
Nonparametric empirical Bayes for the Dirichlet process mixture model
published 2006 · Statistics and Computing · 130 citations
Divergences, surrogate loss functions and experimental design
published 2005 · Neural Information Processing Systems · 7 citations
no link
Nonparametric decentralized detection using kernel methods
published 2005 · IEEE Transactions on Signal Processing · 77 citations
Semi-supervised Learning via Gaussian Processes
published 2004 · Neural Information Processing Systems · 149 citations
with Neil D. Lawrence
no link
Learning Graphical Models for Stationary Time Series
published 2004 · IEEE Transactions on Signal Processing · 117 citations
with Francis Bach
Graphical Models
published 2004 · Statistical Science · 406 citations
Hierarchical Topic Models and the Nested Chinese Restaurant Process
published 2003 · Neural Information Processing Systems · 939 citations
no link
Semidefinite Relaxations for Approximate Inference on Graphs with Cycles
published 2003 · Neural Information Processing Systems · 26 citations
no link
Autonomous Helicopter Flight via Reinforcement Learning
published 2003 · Neural Information Processing Systems · 286 citations
with H. J. Kim, S. Shankar Sastry, Andrew Y. Ng
no link
On the Concentration of Expectation and Approximate Inference in Layered Networks
published 2003 · Neural Information Processing Systems · 5 citations
with Long Nguyen
no link
Latent dirichlet allocation
published 2003 · Journal of Machine Learning Research · 27064 citations · first circulated 2002
An Introduction to MCMC for Machine Learning
published 2003 · Machine Learning · 2424 citations
with Christophe Andrieu, Nando de Freitas, Arnaud Doucet
Graphical Models: Foundations of Neural Computation
published 2002 · Pattern Analysis and Applications · 74 citations
with Terrence J. Sejnowski
Robust Novelty Detection with Single-Class MPM
published 2002 · Neural Information Processing Systems · 88 citations
with Laurent El Ghaoui, Gert Lanckriet
no link
Loopy Belief Propogation and Gibbs Measures.
published 2002 · Uncertainty in Artificial Intelligence · 14 citations
with Sekhar Tatikonda
Variational MCMC
published 2001 · Uncertainty in Artificial Intelligence · 64 citations
with Nando de Freitas, Pedro Højen-Sørensen, Stuart Russell
Attractor Dynamics in Feedforward Neural Networks
published 2000 · Neural Computation · 15 citations
with Lawrence K. Saul
Bayesian parameter estimation via variational methods
published 2000 · Statistics and Computing · 612 citations
with Tommi Jaakkola
An Introduction to Variational Methods for Graphical Models
published 1999 · Machine Learning · 3786 citations · first circulated 1998
with Zoubin Ghahramani, Tommi Jaakkola, Lawrence K. Saul
Mixed Memory Markov Models: Decomposing Complex Stochastic Processes as Mixtures of Simpler Ones
published 1999 · Machine Learning · 152 citations
with Lawrence K. Saul
Factorial Hidden Markov Models
published 1997 · Machine Learning · 1190 citations · first circulated 1996
with Zoubin Ghahramani
Probabilistic Independence Networks for Hidden Markov Probability Models
published 1997 · Neural Computation · 260 citations
Local linear perceptrons for classification
published 1996 · IEEE Transactions on Neural Networks · 80 citations
with Ethem Alpaydın
Mean Field Theory for Sigmoid Belief Networks
published 1996 · Journal of Artificial Intelligence Research · 339 citations
with L.K. Saul, Tommi Jaakkola
Neural networks
published 1996 · ACM Computing Surveys · 32 citations
with Chris Bishop
Convergence results for the EM approach to mixtures of experts architectures
published 1995 · Neural Networks · 304 citations
with Lei Xu
Learning in Boltzmann Trees
published 1994 · Neural Computation · 31 citations
with Lawrence K. Saul
Hierarchical Mixtures of Experts and the EM Algorithm
published 1994 · Neural Computation · 2650 citations
with Robert A. Jacobs
Learning piecewise control strategies in a modular neural network architecture
published 1993 · IEEE Transactions on Systems Man and Cybernetics · 177 citations
with Robert A. Jacobs
Constrained supervised learning
published 1992 · Journal of Mathematical Psychology · 60 citations
Forward Models: Supervised Learning with a Distal Teacher
published 1992 · Cognitive Science · 1473 citations
with David E. Rumelhart
Computational Consequences of a Bias toward Short Connections
published 1992 · Journal of Cognitive Neuroscience · 128 citations
with Robert A. Jacobs
Forward Dynamics Modeling of Speech Motor Control Using Physiological Data
published 1991 · Neural Information Processing Systems · 11 citations
with Makoto Hirayama, Eric Vatikiotis-Bateson, Mitsuo Kawato
no link
Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks
published 1991 · Cognitive Science · 497 citations · first circulated 1990
with Robert A. Jacobs, Andrew G. Barto, A Barto
Adaptive Mixtures of Local Experts
published 1991 · Neural Computation · 5062 citations
with Robert A. Jacobs, Steven J. Nowlan, Geoffrey E. Hinton
A non-empiricist perspective on learning in layered networks
published 1990 · Behavioral and Brain Sciences · 4 citations
Advances in neural information processing systems : proceedings of the ... conference
published 1989 · Medical Entomology and Zoology · 14 citations
with David S. Touretzky, Richard P. Lippmann, John Moody, S. J. Hanson, J. D. Cowan, Ceinwen Giles, Gerald Tesauro, J. Alspector, Todd K. Leen, Michael C. Mozer, Michael E. Hasselmo, Stephen José Hanson, …
no link
Learning to Control an Unstable System with Forward Modeling
published 1989 · neural information processing systems · 89 citations
with Robert A. Jacobs
no link
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