论文列表及评分结果
ChainerRL: A Deep Reinforcement Learning Library.
电商所评分：8
Strong Consistency, Graph Laplacians, and the Stochastic Block Model.
电商所评分：5
From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction.
电商所评分：2
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning.
电商所评分：4
The ensmallen library for flexible numerical optimization.
电商所评分：4
Estimation and Optimization of Composite Outcomes.
电商所评分：5
Partial Policy Iteration for L1-Robust Markov Decision Processes.
电商所评分：3
Thompson Sampling Algorithms for Cascading Bandits.
电商所评分：1
POT: Python Optimal Transport.
电商所评分：3
Asymptotic Normality, Concentration, and Coverage of Generalized Posteriors.
电商所评分：4
Soft Tensor Regression.
电商所评分：9
Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions.
电商所评分：2
First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems.
电商所评分：4
A General Framework for Adversarial Label Learning.
电商所评分：3
Estimating the Lasso's Effective Noise.
电商所评分：2
Some Theoretical Insights into Wasserstein GANs.
电商所评分：2
A Bayes-Optimal View on Adversarial Examples.
电商所评分：1
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm.
电商所评分：1
Banach Space Representer Theorems for Neural Networks and Ridge Splines.
电商所评分：1
Wasserstein barycenters can be computed in polynomial time in fixed dimension.
电商所评分：3
Empirical Bayes Matrix Factorization.
电商所评分：8
RaSE: Random Subspace Ensemble Classification.
电商所评分：4
Classification vs regression in overparameterized regimes: Does the loss function matter?
电商所评分：3
Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates.
电商所评分：4
Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity.
电商所评分：9
Stochastic Online Optimization using Kalman Recursion.
电商所评分：2
Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory.
电商所评分：1
Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms.
电商所评分：1
Optimal Rates of Distributed Regression with Imperfect Kernels.
电商所评分：2
Gaussian Approximation for Bias Reduction in Q-Learning.
电商所评分：8