Birs- 23w5009: Harnessing the Power of Latent Structure Models and Modern Big Data learning
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Title: Inference for the Wasserstein distance between mixing measures in topic models
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Title: Gaussian differential privacy and how to enhance census data privacy for free
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Title: Demystifying softmax gating Gaussian mixture of experts
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Title: Network autoregression for incomplete matrix-valued time series
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Title: Large-scale inference on heteroscedastic units
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Title: Subsampling in large networks
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Title: Discriminant analysis in high-dimensional Gaussian mixtures
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Title: Nonasymptotic theory for two-layer neural networks: Beyond the bias-variance trade-off
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Title: Robust knockoff inference with coupling
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Title: Distributed learning of finite mixture models
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Title: SOFARI: High-dimensional manifold-based inference
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Title: Augmented two-step estimating equations with nuisance functionals and complex survey data
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Title: Identification of latent structures in qualitative variables – Examples from renewable energy users of Nepal
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Title: Navigating challenges in classification and outlier detection: a remedy based on semi-parametric density ratio models
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Title: Estimation and Sparsity in overfitted mixture-of-experts (MOE) models
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Title: Parameter Estimations in Finite Mixture Models
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Title: Maximum binomial likelihood for multivariate mixture data
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Title: Homogeneity pursuit in ranking inferences based on pairwise comparison data
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Title: Optimal nonparametric inference with two-scale distributional nearest neighbors
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