Mathematics & Optimization

Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC AISTATS 2021 Sampling Partial Acyclic Orientations in Chordal Graphs by the Lovasz Local Lemma (Student Abstract) AAAI 2021 Satisfiability and Algorithms for Non-uniform Random k-SAT AAAI 2021 Saturated Post-hoc Optimization for Classical Planning AAAI 2021 SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization NeurIPS 2021 Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks ICML 2021 Scalable Constrained Bayesian Optimization AISTATS 2021 Scalable First-Order Methods for Robust MDPs AAAI 2021 Scalable Inference of Sparsely-changing Gaussian Markov Random Fields NeurIPS 2021 Scalable Intervention Target Estimation in Linear Models NeurIPS 2021 Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More ICML 2021 Scaling Neural Tangent Kernels via Sketching and Random Features NeurIPS 2021 Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification NeurIPS 2021 Scene Essence CVPR 2021 Scheduling jobs with stochastic holding costs NeurIPS 2021 Searching for More Efficient Dynamic Programs EMNLP 2021 Second Order Techniques for Learning Time-series with Structural Breaks AAAI 2021 Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021 Segcache: a memory-efficient and scalable in-memory key-value cache for small objects NSDI 2021 Selective Sampling for Online Best-arm Identification NeurIPS 2021 Selfish Creation of Social Networks AAAI 2021 Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification NeurIPS 2021 Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics NeurIPS 2021 Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving ACL 2021 Sequential Algorithms for Testing Closeness of Distributions NeurIPS 2021