Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems. Distributed Streaming Analytics on Large-scale Oceanographic Data using Apache Spark. Active Learning of Spin Network Models. Unsupervised Moving Object Detection via Contextual Information Separation. Relevance-Promoting Language Model for Short-Te …

Is artificial data useful for biomedical Natural Language Processing algorithms?. Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks. SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement. A Unifying Framework for Variance Reduction Algorithms for Finding Zeroes of Monotone Operators. The Kik …

Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation. Fair Distributions from Biased Samples: A Maximum Entropy Optimization Framework. A New Framework for Multi-Agent Reinforcement Learning – Centralized Training and Exploration with Decentralized Execution via Policy Distillation. Multi-Agent Re …