Self-Paced Contextual Reinforcement Learning
Attention-based Convolutional Neural Network for Weakly Labeled Human
  Activities Recognition with Wearable Sensors
The coset weight distributions of certain BCH codes and a family of
  curves Functional renormalization group and 2PI effective action formalism Complex rotation with internal dissipation. Applications to cosmic-dust
  alignment and to wobbling comets and asteroids Polynomial Chaos-based Bayesian Inference of K-Profile Parametrization
  in a General Circulation Model of the Tropical Pacific Singular Values and Eigenvalues of Tensors: A Variational Approach TREES: A CPU/GPU Task-Parallel Runtime with Explicit Epoch
  Synchronization Dynamic Assortment Personalization in High Dimensions A Survey of Recent Scalability Improvements for Semidefinite Programming
  with Applications in Machine Learning, Control, and Robotics From Pixels to Torques: Policy Learning with Deep Dynamical Models Algebraic approach to parafermionic conformal field theories Approximability results for the $p$-centdian and the converse centdian
  problems Nonlinear effects in Schwinger-Dyson Equation Learning a functional control for high-frequency finance A Novel Framework for Spatio-Temporal Prediction of Environmental Data
  Using Deep Learning Efficient, sparse representation of manifold distance matrices for
  classical scaling Coloring Large Complex Networks Inference of Schr\"odinger's Equation from Classical-Mechanical Solution Mathematically equivalent approaches for equality constrained Kalman
  Filtering Spatio-temporal trends in the propagation and capacity of low-carbon
  hydrogen projects Atomic and Molecular Aspects of Astronomical Spectra
cs.LG stat.ML