discrete optimization

A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings EMNLP 2020 Amortized Bayesian Optimization over Discrete Spaces UAI 2020 Determinant Regularization for Gradient-Efficient Graph Matching CVPR 2020 Discrete Model Compression With Resource Constraint for Deep Neural Networks CVPR 2020 Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction ACL 2020 From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering NeurIPS 2020 MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment CVPR 2020 Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation AAAI 2020 Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework AAAI 2020 Ordering Variables for Weighted Model Integration UAI 2020 Photometric Stereo via Discrete Hypothesis-and-Test Search CVPR 2020 Probabilistic Circuits for Variational Inference in Discrete Graphical Models NeurIPS 2020 Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems AAAI 2020 StochasticRank: Global Optimization of Scale-Free Discrete Functions ICML 2020 Submodular Meta-Learning NeurIPS 2020 The Complexity of Election Problems with Group-Separable Preferences IJCAI 2020 Bottleneck Potentials in Markov Random Fields ICCV 2019 Computational Intractability and Solvability for the Birds of a Feather Game AAAI 2019 Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data AAAI 2019 Detecting Egregious Responses in Neural Sequence-to-sequence Models ICLR 2019 Discrete Social Recommendation AAAI 2019 Discrete Trust-aware Matrix Factorization for Fast Recommendation IJCAI 2019 Jointly Multiple Hash Learning AAAI 2019 Learning Reward Machines for Partially Observable Reinforcement Learning NeurIPS 2019 Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help? ICCV 2019