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A Spectral Algorithm for Latent Dirichlet Allocation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Distributed Gibbs Sampling for Latent Variable Models
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Polynomial Learning of Distribution Families
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Numerical Methods for Simultaneous Diagonalization
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Tensor Decompositions and Applications
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The Spectral Method for General Mixture Models
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Polynomial Learning of Distribution Families
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Spectral Methods for Learning Multivariate Latent Tree Structure
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Probabilistic Latent Semantic Analysis
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Tensor decompositions for learning latent variable models
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Efficient Learning of Mixed Membership Models
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Orthogonalized ALS: A Theoretically Principled Tensor Decomposition Algorithm for Practical Use
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Provable benefits of representation learning
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Clustering Patients with Tensor Decomposition
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Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo
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Weighted Tensor Decomposition for Learning Latent Variables with Partial Data
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Barriers for Rank Methods in Arithmetic Complexity
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Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models
inferred← citeshttps://doi.org/10.48550/arxiv.1711.11581openalex-snapshot
Outlier-robust moment-estimation via sum-of-squares
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Tensor Train decomposition on TensorFlow (T3F)
inferred← citeshttps://doi.org/10.48550/arxiv.1802.09656openalex-snapshot
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach
inferred← citeshttps://doi.org/10.48550/arxiv.1805.06837openalex-snapshot
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics
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An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm
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Guaranteed Simultaneous Asymmetric Tensor Decomposition via Orthogonalized Alternating Least Squares
inferred← citeshttps://doi.org/10.48550/arxiv.1806.11006openalex-snapshot
Learning Implicit Generative Models with the Method of Learned Moments
inferred← citeshttps://doi.org/10.48550/arxiv.1902.04646openalex-snapshot
Weighted Tensor Completion for Time-Series Causal Inference
inferred← citeshttps://doi.org/10.48550/arxiv.1904.02064openalex-snapshot
Minimum Volume Topic Modeling
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Finding a latent k-simplex in O(k . nnz(data)) time via Subset Smoothing
inferred← citeshttps://doi.org/10.48550/arxiv.1905.10424openalex-snapshot
A general method for regularizing tensor decomposition methods via pseudo-data
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Dirichlet Simplex Nest and Geometric Inference
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Topic Modeling via Full Dependence Mixtures
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Optimal estimation of sparse topic models
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Making Method of Moments Great Again? -- How can GANs learn distributions
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The Sparse Hausdorff Moment Problem, with Application to Topic Models
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Source Identification for Mixtures of Product Distributions
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Adversarial Combinatorial Bandits with General Non-linear Reward Functions
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Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions
inferred← citeshttps://doi.org/10.48550/arxiv.2106.09533openalex-snapshot
Author Clustering and Topic Estimation for Short Texts
inferred← citeshttps://doi.org/10.48550/arxiv.2108.07899openalex-snapshot
Implicit Regularization and Entrywise Convergence of Riemannian Optimization for Low Tucker-Rank Tensor Completion
inferred← citeshttps://doi.org/10.48550/arxiv.2109.11705openalex-snapshot
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data
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A Customized Web Spider for Why-QA Pairs Corpus Preparation
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Tensor decompositions for learning latent variable models
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Learning latent variable models : efficient algorithms and applications
inferred← citeshttps://doi.org/10.5821/dissertation-2117-95067openalex-snapshot
Learning finite-state machines: statistical and algorithmic aspects
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Applied and Computational Mathematics Division : summary of activities for fiscal year 2013
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Applied and Computational Mathematics Division: Summary of Activities for Fiscal Year 2015
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Instance-dependent analysis of learning algorithms
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