论文列表及评分结果

Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions.

电商所评分:9

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Change Point Estimation in a Dynamic Stochastic Block Model.

电商所评分:1

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Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data.

电商所评分:6

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Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection in Genomic Data.

电商所评分:6

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Connecting Spectral Clustering to Maximum Margins and Level Sets.

电商所评分:2

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Contextual Explanation Networks.

电商所评分:10

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Conic Optimization for Quadratic Regression Under Sparse Noise.

电商所评分:7

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Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis.

电商所评分:1

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Learning with Fenchel-Young losses.

电商所评分:7

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Multiparameter Persistence Landscapes.

电商所评分:9

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Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning.

电商所评分:3

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High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix.

电商所评分:8

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Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise.

电商所评分:2

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A determinantal point process for column subset selection.

电商所评分:4

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Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections.

电商所评分:3

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ThunderGBM: Fast GBDTs and Random Forests on GPUs.

电商所评分:4

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Convergence of Sparse Variational Inference in Gaussian Processes Regression.

电商所评分:9

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Target-Aware Bayesian Inference: How to Beat Optimal Conventional Estimators.

电商所评分:4

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A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints.

电商所评分:3

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Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models.

电商所评分:10

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Orlicz Random Fourier Features.

电商所评分:10

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Mining Topological Structure in Graphs through Forest Representations.

电商所评分:2

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AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models.

电商所评分:7

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Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs.

电商所评分:1

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Dynamic Assortment Optimization with Changing Contextual Information.

电商所评分:5

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Noise Accumulation in High Dimensional Classification and Total Signal Index.

电商所评分:8

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Generalized Optimal Matching Methods for Causal Inference.

电商所评分:6

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Bayesian Model Selection with Graph Structured Sparsity.

电商所评分:7

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Reinforcement Learning in Continuous Time and Space: A Stochastic Control Approach.

电商所评分:6

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Empirical Priors for Prediction in Sparse High-dimensional Linear Regression.

电商所评分:6

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