Mathematics & Optimization

Learning Feature Sparse Principal Subspace NeurIPS 2020 Learning for Graph Matching and Related Combinatorial Optimization Problems IJCAI 2020 Learning from Non-Binary Constituency Trees via Tensor Decomposition COLING 2020 Learning Gaussian Graphical Models via Multiplicative Weights AISTATS 2020 Learning High-dimensional Gaussian Graphical Models under Total Positivity without Adjustment of Tuning Parameters AISTATS 2020 Learning Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020 Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables JMLR 2020 Learning Linear Programs from Optimal Decisions NeurIPS 2020 Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation AAAI 2020 Learning Mixed Latent Tree Models JMLR 2020 Learning Mixtures of Graphs from Epidemic Cascades ICML 2020 Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification CVPR 2020 Learning nonlinear dynamical systems from a single trajectory L4DC 2020 Learning Opinions in Social Networks ICML 2020 Learning Optimal Cyclic Causal Graphs from Interventional Data PGM 2020 Learning Optimal Decision Trees Using Caching Branch-and-Bound Search AAAI 2020 Learning Optimal Decision Trees using Constraint Programming (Extended Abstract) IJCAI 2020 Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs IJCAI 2020 Learning piecewise Lipschitz functions in changing environments AISTATS 2020 Learning Polynomials in Few Relevant Dimensions COLT 2020 Learning Quadratic Games on Networks ICML 2020 Learning Rich Rankings NeurIPS 2020 Learning Selection Strategies in Buchberger’s Algorithm ICML 2020 Learning Similarity Metrics for Numerical Simulations ICML 2020 Learning solutions to hybrid control problems using Benders cuts L4DC 2020