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On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Optimal Bounds between f-Divergences and Integral Probability Metrics.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Neighborhood Structure Assisted Non-negative Matrix Factorization and Its Application in Unsupervised Point-wise Anomaly Detection.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Pseudo-Marginal Hamiltonian Monte Carlo.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Wasserstein Barycenters can be Computed in Polynomial Time in Fixed Dimension.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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A General Framework for Adversarial Label Learning.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Online stochastic gradient descent on non-convex losses from high-dimensional inference.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Sparse and Smooth Signal Estimation: Convexification of ℓ<sub>0</sub>-Formulations.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Sparse Convex Optimization via Adaptively Regularized Hard Thresholding.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Consistent estimation of small masses in feature sampling.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Residual Energy-Based Models for Text.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Unlinked Monotone Regression.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Nonparametric Modeling of Higher-Order Interactions via Hypergraphons.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Improved Shrinkage Prediction under a Spiked Covariance Structure.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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LocalGAN: Modeling Local Distributions for Adversarial Response Generation.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Failures of Model-dependent Generalization Bounds for Least-norm Interpolation.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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CAT: Compression-Aware Training for Bandwidth Reduction.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Prediction against a limited adversary.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Preference-based Online Learning with Dueling Bandits: A Survey.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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A Unified Framework for Random Forest Prediction Error Estimation.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Simple and Fast Algorithms for Interactive Machine Learning with Random Counter-examples.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Some Theoretical Insights into Wasserstein GANs.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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A Contextual Bandit Bake-off.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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mlr3pipelines - Flexible Machine Learning Pipelines in R.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Domain Generalization by Marginal Transfer Learning.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Conditional independences and causal relations implied by sets of equations.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Matrix Product States for Inference in Discrete Probabilistic Models.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Sparse Tensor Additive Regression.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Particle-Gibbs Sampling for Bayesian Feature Allocation Models.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Mixing Time of Metropolis-Hastings for Bayesian Community Detection.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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An Inertial Newton Algorithm for Deep Learning.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Knowing what You Know: valid and validated confidence sets in multiclass and multilabel prediction.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Analyzing the discrepancy principle for kernelized spectral filter learning algorithms.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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ROOTS: Object-Centric Representation and Rendering of 3D Scenes.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Kernel Operations on the GPU, with Autodiff, without Memory Overflows.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Finite-sample Analysis of Interpolating Linear Classifirs in the Overparameterized Regime.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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When Does Gradient Descent with Logistic Loss Find Interpolating Two-layer Networks?
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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