Mathematics & Optimization

Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions IJCAI 2019 Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling ICML 2019 Learning Adaptive Random Features AAAI 2019 Learning and Data Selection in Big Datasets ICML 2019 Learning-Based Low-Rank Approximations NeurIPS 2019 Learning Diffusions without Timestamps AAAI 2019 Learning Dynamic Generator Model by Alternating Back-Propagation through Time AAAI 2019 Learning dynamic polynomial proofs NeurIPS 2019 Learning Embeddings into Entropic Wasserstein Spaces ICLR 2019 Learning Erdos-Renyi Random Graphs via Edge Detecting Queries NeurIPS 2019 Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations ICML 2019 Learning (from) Deep Hierarchical Structure among Features AAAI 2019 Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems ICML 2019 Learning Hawkes Processes from a handful of events NeurIPS 2019 Learning Hawkes Processes Under Synchronization Noise ICML 2019 Learning Ising Models with Independent Failures COLT 2019 Learning Linear-Quadratic Regulators Efficiently with only √T Regret ICML 2019 Learning low-dimensional state embeddings and metastable clusters from time series data NeurIPS 2019 Learning metrics for persistence-based summaries and applications for graph classification NeurIPS 2019 Learning Mixtures of Plackett-Luce Models from Structured Partial Orders NeurIPS 2019 Learning Multiple Markov Chains via Adaptive Allocation NeurIPS 2019 Learning Neural Bag-of-Matrix-Summarization with Riemannian Network AAAI 2019 Learning Non-Uniform Hypergraph for Multi-Object Tracking AAAI 2019 Learning Optimal Classification Trees Using a Binary Linear Program Formulation AAAI 2019 Learning Optimal Strategies to Commit To AAAI 2019