Mathematics & Optimization

Learning to Embed Distributions via Maximum Kernel Entropy NeurIPS 2024 Learning to Handle Complex Constraints for Vehicle Routing Problems NeurIPS 2024 Learning to Pivot as a Smart Expert AAAI 2024 Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem UAI 2024 Learning to Price Homogeneous Data NeurIPS 2024 Learning to Rank for Active Learning via Multi-Task Bilevel Optimization UAI 2024 Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances ICLR 2024 Learning to Remove Cuts in Integer Linear Programming ICML 2024 Learning to Scale Logits for Temperature-Conditional GFlowNets ICML 2024 Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model ICLR 2024 Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming AAAI 2024 Learning to Understand: Identifying Interactions via the Möbius Transform NeurIPS 2024 Learning to Warm-Start Fixed-Point Optimization Algorithms JMLR 2024 Learning Ultrametric Trees for Optimal Transport Regression AAAI 2024 Learning with Adaptive Resource Allocation ICML 2024 Learning with a linear loss function: excess risk and estimation bounds for ERM, minmax MOM and their regularized versions with applications to robustness in sparse PCA. JMLR 2024 Learning with Fitzpatrick Losses NeurIPS 2024 Learning with Posterior Sampling for Revenue Management under Time-varying Demand IJCAI 2024 Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize AAAI 2024 Leveraging (Biased) Information: Multi-armed Bandits with Offline Data ICML 2024 Leveraging Camera Triplets for Efficient and Accurate Structure-from-Motion CVPR 2024 Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks AISTATS 2024 Leveraging partial stragglers within gradient coding NeurIPS 2024 Lexicographic Optimization: Algorithms and Stability AISTATS 2024 LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication NeurIPS 2024