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List of works by Michael I. Jordan

A Comparative Framework for Preconditioned Lasso Algorithms ⬇️

scholarly article by Fabian L. Wauthier et al published 2013 in Advances in Neural Information Processing Systems 26

A Diffusion Process Perspective on Posterior Contraction Rates for Parameters

scientific article published on 20 June 2024

A Direct Formulation for Sparse PCA Using Semidefinite Programming

A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences ⬇️

scientific article published in January 2003

A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin

scientific article published on 5 October 2016

A Minimal Intervention Principle for Coordinated Movement ⬇️

scientific article published in January 2003

A Python library for probabilistic analysis of single-cell omics data

scientific article published on 07 February 2022

A Variational Principle for Model-based Morphing ⬇️

scientific article published in January 1997

A competitive modular connectionist architecture ⬇️

article by Robert A. Jacobs & Michael I. Jordan published 1991 in Advances in Neural Information Processing Systems 3

A critical assessment of Mus musculus gene function prediction using integrated genomic evidence

scientific article

A dual receptor crosstalk model of G-protein-coupled signal transduction

scientific article

A dynamical model of priming and repetition blindness ⬇️

scientific article published in January 1993

A latent variable model for chemogenomic profiling

scientific article published on 26 May 2005

A randomization test for controlling population stratification in whole-genome association studies

scientific article

A scalable bootstrap for massive data

A statistical framework for genomic data fusion

scientific article

A variational perspective on accelerated methods in optimization

scientific article published on 9 November 2016

Acceleration via Symplectic Discretization of High-Resolution Differential Equations ⬇️

Active Learning with Statistical Models ⬇️

scientific article published in January 1995

Active site prediction using evolutionary and structural information

scientific article

Adaptation in Speech Motor Control ⬇️

Adaptive Mixtures of Local Experts

article

Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback

scientific article published on 23 May 2024

Agreement-Based Learning ⬇️

scientific article published in January 2008

An Alternative Model for Mixtures of Experts ⬇️

scientific article published in January 1995

An Introduction to MCMC for Machine Learning

scholarly article by Christophe Andrieu et al published 2003 in Machine Learning

Ancestor Sampling for Particle Gibbs ⬇️

scientific article published in January 2012

Approximate Inference A lgorithms for Two-Layer Bayesian Networks ⬇️

scientific article published in January 2000

Approximating Posterior Distributions in Belief Networks Using Mixtures ⬇️

Association mapping and significance estimation via the coalescent

scientific article

Asymptotically Optimal Regularization in Smooth Parametric Models ⬇️

scientific article published in January 2009

Autonomous Helicopter Flight via Reinforcement Learning ⬇️

scientific article published in January 2004

Bayesian Bias Mitigation for Crowdsourcing ⬇️

scientific article published in January 2011

Bayesian haplotype inference via the Dirichlet process

scientific article published in April 2007

Blind One-microphone Speech Separation: A Spectral Learning Approach ⬇️

scientific article published in January 2005

Boltzmann Chains and Hidden Markov Models ⬇️

scientific article published in January 1995

Chemogenomic profiling: identifying the functional interactions of small molecules in yeast

scholarly article

Combinatorial Clustering and the Beta Negative Binomial Process

scientific article published in February 2015

Communication-Efficient Distributed Dual Coordinate Ascent ⬇️

scientific article published in January 2014

Computational Structure of coordinate transformations: A generalization study ⬇️

scientific article published in January 1995

Computational and statistical tradeoffs via convex relaxation

scientific article

Computational models of sensorimotor integration

article

Computing regularization paths for learning multiple kernels ⬇️

scientific article published in January 2005

Conditional Adversarial Domain Adaptation ⬇️

Consistent probabilistic outputs for protein function prediction

scientific article published on 27 June 2008

Convergence of Stochastic Iterative Dynamic Programming Algorithms ⬇️

scientific article published in January 1994

Convex and semi-nonnegative matrix factorizations

scientific article published in January 2010

Corrigendum: Plant-Based Diets Are Associated With Lower Adiposity Levels Among Hispanic/Latino Adults in the Adventist Multi-Ethnic Nutrition (AMEN) Study

scientific article published on 12 June 2019

Cyclades: Conflict-free Asynchronous Machine Learning ⬇️

scientific article published in January 2016

Decision-Making with Auto-Encoding Variational Bayes ⬇️

scientific article published in November 2020

Decoding from Pooled Data: Phase Transitions of Message Passing

Decoding from pooled data: Phase transitions of message passing

Deep generative modeling for single-cell transcriptomics.

scientific article published on 30 November 2018

DestVI identifies continuums of cell types in spatial transcriptomics data

scientific article published in 2022

DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification ⬇️

scientific article published in January 2009

Distance Metric Learning with Application to Clustering with Side-Information ⬇️

scientific article published in January 2003

Divergences, surrogate loss functions and experimental design ⬇️

scientific article published in January 2006

Divide-and-Conquer Matrix Factorization ⬇️

scientific article published in January 2011

Efficient Inference in Phylogenetic InDel Trees ⬇️

Estimating Dependency Structure as a Hidden Variable ⬇️

Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization ⬇️

scientific article published in January 2008

Estimation, Optimization, and Parallelism when Data is Sparse ⬇️

Evolutionary inference via the Poisson Indel Process

scientific article

Exploiting Tractable Substructures in Intractable Networks ⬇️

scientific article published in January 1996

Extensions of the Informative Vector Machine

article published in 2005

Factorial Hidden Markov Models

article

Fast Black-box Variational Inference through Stochastic Trust-Region Optimization ⬇️

scientific article published in January 2017

Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks ⬇️

scientific article published in January 1996

Feature Selection Methods for Improving Protein Structure Prediction with Rosetta ⬇️

Feature space resampling for protein conformational search.

scientific article

Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods ⬇️

scientific article published in January 2012

Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm ⬇️

scientific article published in November 2020

Forward Dynamics Modeling of Speech Motor Control Using Physiological Data ⬇️

scientific article published in January 1992

Forward dynamic models in human motor control: Psychophysical evidence ⬇️

scientific article published in January 1995

Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation ⬇️

Generalized Zero-Shot Learning with Deep Calibration Network ⬇️

Genome-scale phylogenetic function annotation of large and diverse protein families

scientific article

Genome-wide requirements for resistance to functionally distinct DNA-damaging agents

scientific article

Genomic privacy and limits of individual detection in a pool.

scientific article published on 23 August 2009

Gradient Descent Can Take Exponential Time to Escape Saddle Points ⬇️

scientific article published in January 2017

Graphical Models

article

Heavy-Tailed Process Priors for Selective Shrinkage ⬇️

scientific article published in January 2010

Hidden Markov Decision Trees ⬇️

scientific article published in January 1997

Hierarchical Mixtures of Experts and the EM Algorithm

scientific article published in 1994

Hierarchical Topic Models and the Nested Chinese Restaurant Process ⬇️

scientific article published in January 2004

Hierarchical mixtures of experts and the EM algorithm

conference version of article, published in 1993

Hierarchies of adaptive experts ⬇️

scientific article published in January 1992

High-dimensional support union recovery in multivariate regression ⬇️

In-Network PCA and Anomaly Detection ⬇️

scientific article published in January 2007

Information Constraints on Auto-Encoding Variational Bayes ⬇️

Information-theoretic lower bounds for distributed statistical estimation with communication constraints ⬇️

article by Yuchen Zhang et al published 2013 in Advances in Neural Information Processing Systems 26

Is Q-Learning Provably Efficient? ⬇️

Iterative Discovery of Multiple AlternativeClustering Views

scientific article published on July 2014

Joint estimation of gene conversion rates and mean conversion tract lengths from population SNP data

scientific article

KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces

scientific article published on 04 August 2023

Kernel Dimensionality Reduction for Supervised Learning ⬇️

scientific article published in January 2004

Kernel Feature Selection via Conditional Covariance Minimization ⬇️

scientific article published in January 2017

LOGOS: a modular Bayesian model for de novo motif detection

scientific article

Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates ⬇️

scientific article published in January 2004

Latent Dirichlet Allocation ⬇️

scientific article published in 2003

Learning Equilibria in Matching Markets with Bandit Feedback

scientific article published on 24 May 2023

Learning Fine Motion by Markov Mixtures of Experts ⬇️

scientific article published in January 1996

Learning Graphical Models with Mercer Kernels ⬇️

scientific article published in January 2003

Learning Low-Dimensional Signal Models: A Bayesian approach based on incomplete measurements

scientific article published on March 2011

Learning Spectral Clustering ⬇️

scientific article published in January 2004

Learning from Dyadic Data ⬇️

scientific article published in January 1999

Learning to Control an Unstable System with Forward Modeling ⬇️

scientific article published in January 1990

Lessons from Escherichia coli genes similarly regulated in response to nitrogen and sulfur limitation

scientific article

Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes ⬇️

Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences ⬇️

scientific article published in January 2016

Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation ⬇️

Logos: a modular bayesian model for de novo motif detection

scientific article published in March 2004

Matrix concentration inequalities via the method of exchangeable pairs

Minimax Optimal Procedures for Locally Private Estimation

scientific article published in 2018

Minimax Probability Machine ⬇️

Mining Massive Amounts of Genomic Data: A Semiparametric Topic Modeling Approach

Molecular function prediction for a family exhibiting evolutionary tendencies toward substrate specificity swapping: recurrence of tyrosine aminotransferase activity in the Iα subfamily

scientific article published on 17 June 2013

Monotone Inclusions, Acceleration, and Closed-Loop Control

scientific article published on 4 January 2023

MultiVI: deep generative model for the integration of multimodal data

scientific article published on 29 June 2023

Multiple-sequence functional annotation and the generalized hidden Markov phylogeny

scientific article published on 26 February 2004

Neighbor-dependent Ramachandran probability distributions of amino acids developed from a hierarchical Dirichlet process model

scientific article

Nested Hierarchical Dirichlet Processes

scientific article published in February 2015

Non-convex Finite-Sum Optimization Via SCSG Methods ⬇️

scientific article published in January 2017

Nonparametric Bayesian Learning of Switching Linear Dynamical Systems ⬇️

Nonparametric Latent Feature Models for Link Prediction ⬇️

scientific article published in January 2009

Nonparametric combinatorial sequence models

scientific article published on 2 November 2011

On Convergence Properties of the EM Algorithm for Gaussian Mixtures

On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes ⬇️

On Spectral Clustering: Analysis and an algorithm ⬇️

On the Accuracy of Self-Normalized Log-Linear Models ⬇️

On the Concentration of Expectation and Approximate Inference in Layered Networks ⬇️

scientific article published in January 2004

On the Convergence Rate of Decomposable Submodular Function Minimization ⬇️

scientific article published in January 2014

On the Local Minima of the Empirical Risk ⬇️

On the Theory of Transfer Learning: The Importance of Task Diversity ⬇️

On the inference of ancestries in admixed populations

scientific article published on 18 March 2008

Online control of the false discovery rate with decaying memory ⬇️

scientific article published in January 2017

Optimal feedback control as a theory of motor coordination

scientific article

Optimistic Concurrency Control for Distributed Unsupervised Learning ⬇️

Parallel Correlation Clustering on Big Graphs ⬇️

Parallel Double Greedy Submodular Maximization ⬇️

scientific article published in January 2014

Phylogenetic inference via sequential Monte Carlo

scientific article

Phylogenetic molecular function annotation

scientific article published on January 2009

Plant-Based Diets Are Associated With Lower Adiposity Levels Among Hispanic/Latino Adults in the Adventist Multi-Ethnic Nutrition (AMEN) Study

article

Plant-Based Diets in Hispanic/Latino Adult Adventists in the United States and Their Association With Body Mass Index

scientific article published on 17 February 2019

Posterior Consistency of the Silverman g-prior in Bayesian Model Choice ⬇️

Prediction-powered inference

scientific article published on 09 November 2023

Privacy Aware Learning ⬇️

scientific article published in January 2012

Probabilistic Independence Networks for Hidden Markov Probability Models

scientific article published on February 1997

Probabilistic harmonization and annotation of single-cell transcriptomics data with deep generative models

scientific article published on 01 January 2021

Projection Robust Wasserstein Distance and Riemannian Optimization ⬇️

Protein molecular function prediction by Bayesian phylogenomics

scientific article

Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations ⬇️

scientific article published in November 2020

Provably Efficient Reinforcement Learning with Linear Function Approximation

scientific article published in August 2023

Random Conic Pursuit for Semidefinite Programming ⬇️

scientific article published in January 2010

Recursive Algorithms for Approximating Probabilities in Graphical Models ⬇️

scientific article published in January 1997

Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems ⬇️

scientific article published in January 1995

Reinforcement Learning by Probability Matching ⬇️

scientific article published in January 1996

Reinforcement Learning with Soft State Aggregation ⬇️

scientific article published in January 1995

Robust Novelty Detection with Single-Class MPM ⬇️

scientific article published in January 2003

Robust Optimization for Fairness with Noisy Protected Groups ⬇️

scientific article published in November 2020

Robust design of biological experiments ⬇️

scientific article published in January 2006

SMaSH: a benchmarking toolkit for human genome variant calling

scientific article

Sampling can be faster than optimization

scientific article published on 30 September 2019

Saturating Splines and Feature Selection

scientific article published on 01 April 2018

Semi-supervised Learning via Gaussian Processes ⬇️

scientific article published in January 2005

Semidefinite Relaxations for Approximate Inference on Graphs with Cycles ⬇️

scientific article published in January 2004

Sensorimotor adaptation of speech I: Compensation and adaptation

scientific article published in April 2002

Serial Order: A Parallel Distributed Processing Approach

Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes ⬇️

Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes ⬇️

Sharing Features among Dynamical Systems with Beta Processes ⬇️

scientific article published in January 2009

Skilful nowcasting of extreme precipitation with NowcastNet

scientific article published on 5 July 2023

Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models ⬇️

scientific article published in January 2012

Spectral Clustering with Perturbed Data ⬇️

Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing ⬇️

scientific article published in January 2014

Statistical Debugging of Sampled Programs ⬇️

scientific article published in January 2004

Stochastic Cubic Regularization for Fast Nonconvex Optimization ⬇️

Streaming Variational Bayes ⬇️

Structured Prediction via the Extragradient Method ⬇️

scientific article published in January 2006

Subtree power analysis and species selection for comparative genomics

scientific article

Sulfur and nitrogen limitation in Escherichia coli K-12: specific homeostatic responses

scientific article

Supervised learning from incomplete data via an EM approach ⬇️

scientific article published in January 1994

Theoretical guarantees for EM under misspecified Gaussian mixture models ⬇️

Thin Junction Trees ⬇️

scientific article published in January 2002

Toward a protein profile of Escherichia coli: comparison to its transcription profile

scientific article

Transferable Calibration with Lower Bias and Variance in Domain Adaptation ⬇️

article by Ximei Wang et al published November 2020 in Advances in Neural Information Processing Systems 33

Transferable Normalization: Towards Improving Transferability of Deep Neural Networks ⬇️

Transferable Representation Learning with Deep Adaptation Networks

scientific article published on 05 September 2018

Tree-Structured Stick Breaking for Hierarchical Data ⬇️

Triangulation by Continuous Embedding ⬇️

scientific article published in January 1997

Unsupervised Domain Adaptation with Residual Transfer Networks ⬇️

scientific article published in January 2016

Unsupervised Kernel Dimension Reduction ⬇️

Unsupervised Online Learning for Long-Term High Sensitivity Seizure Detection

scientific article published on 01 July 2020

Variational Consensus Monte Carlo ⬇️

Variational Inference for Dirichlet Process Mixtures

scientific article published in 2006

Variational Inference over Combinatorial Spaces ⬇️

Visually Relating Gene Expression and in vivo DNA Binding Data

article

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