论文列表及评分结果
Finite Time LTI System Identification.
电商所评分：5
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift.
电商所评分：7
Inference In High-dimensional Single-Index Models Under Symmetric Designs.
电商所评分：10
On the Estimation of Network Complexity: Dimension of Graphons.
电商所评分：7
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits.
电商所评分：7
Sparse Tensor Additive Regression.
电商所评分：5
Single and Multiple Change-Point Detection with Differential Privacy.
电商所评分：10
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models.
电商所评分：7
On efficient multilevel Clustering via Wasserstein distances.
电商所评分：5
Dynamic Tensor Recommender Systems.
电商所评分：1
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms.
电商所评分：1
Sparse Popularity Adjusted Stochastic Block Model.
电商所评分：10
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings.
电商所评分：8
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference.
电商所评分：10
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories.
电商所评分：4
Approximate Newton Methods.
电商所评分：2
A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family.
电商所评分：7
Adaptive estimation of nonparametric functionals.
电商所评分：6
Asynchronous Online Testing of Multiple Hypotheses.
电商所评分：10
OpenML-Python: an extensible Python API for OpenML.
电商所评分：10
Neighborhood Structure Assisted Non-negative Matrix Factorization and Its Application in Unsupervised Point-wise Anomaly Detection.
电商所评分：1
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons.
电商所评分：3
Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation.
电商所评分：2
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model.
电商所评分：10
Path Length Bounds for Gradient Descent and Flow.
电商所评分：4
Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation.
电商所评分：8
Statistical guarantees for local graph clustering.
电商所评分：7
On the Riemannian Search for Eigenvector Computation.
电商所评分：1
Determining the Number of Communities in Degree-corrected Stochastic Block Models.
电商所评分：5
Bayesian time-aligned factor analysis of paired multivariate time series.
电商所评分：9