论文列表及评分结果
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning.
电商所评分：10
Sobolev Norm Learning Rates for Regularized Least-Squares Algorithms.
电商所评分：3
Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group.
电商所评分：2
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond.
电商所评分：3
Lower Bounds for Parallel and Randomized Convex Optimization.
电商所评分：6
High Dimensional Forecasting via Interpretable Vector Autoregression.
电商所评分：1
Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks.
电商所评分：6
Minimax Nonparametric Parallelism Test.
电商所评分：8
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space.
电商所评分：9
Cornac: A Comparative Framework for Multimodal Recommender Systems.
电商所评分：2
GluonTS: Probabilistic and Neural Time Series Modeling in Python.
电商所评分：4
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes.
电商所评分：3
Functional Martingale Residual Process for High-Dimensional Cox Regression with Model Averaging.
电商所评分：1
Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels.
电商所评分：5
The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization.
电商所评分：3
pyDML: A Python Library for Distance Metric Learning.
电商所评分：9
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior.
电商所评分：5
Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models.
电商所评分：10
Learning Data-adaptive Non-parametric Kernels.
电商所评分：2
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success.
电商所评分：8
Multi-Player Bandits: The Adversarial Case.
电商所评分：6
Loss Control with Rank-one Covariance Estimate for Short-term Portfolio Optimization.
电商所评分：3
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation.
电商所评分：9
Ancestral Gumbel-Top-k Sampling for Sampling Without Replacement.
电商所评分：5
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise.
电商所评分：9
Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes.
电商所评分：7
Adaptive Approximation and Generalization of Deep Neural Network with Intrinsic Dimensionality.
电商所评分：10
Wide Neural Networks with Bottlenecks are Deep Gaussian Processes.
电商所评分：8
ProtoAttend: Attention-Based Prototypical Learning.
电商所评分：10
Breaking the Curse of Nonregularity with Subagging - Inference of the Mean Outcome under Optimal Treatment Regimes.
电商所评分：6