🏛️ The Machine Learning (Stat) Crypt
stat.ML: Where Machine Learning (Stat) papers rest without their code.
5867
Total Papers
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Twilight
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Bayesian Attention Modules
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A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments
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Federated Generative Privacy
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Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation
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A Siamese Deep Forest
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Statistically Optimal and Computationally Efficient Low Rank Tensor Completion from Noisy Entries
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Increasing the Interpretability of Recurrent Neural Networks Using Hidden Markov Models
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Fast K-Means with Accurate Bounds
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Pointer Graph Networks
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Variational Autoencoder with Implicit Optimal Priors
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Accurate Inference for Adaptive Linear Models
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Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach
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Adversarial Variational Optimization of Non-Differentiable Simulators
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An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic Riemannian Optimization
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Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC
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Distributed Representations of Signed Networks
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A Probabilistic Framework for Deep Learning
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Learning Deep Architectures for Interaction Prediction in Structure-based Virtual Screening
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Warm Starting Bayesian Optimization
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Why Regularized Auto-Encoders learn Sparse Representation?
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Contrastive Pessimistic Likelihood Estimation for Semi-Supervised Classification
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RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications
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