Mathematics & Optimization

Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition CVPR 2023 Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models NeurIPS 2023 Efficient Second-Order Plane Adjustment CVPR 2023 Efficient Semiring-Weighted Earley Parsing ACL 2023 EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting ICCV 2023 Elastic Decision Transformer NeurIPS 2023 Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net JMLR 2023 Eliminating the Computation of Strongly Connected Components in Generalized Arc Consistency Algorithm for AllDifferent Constraint IJCAI 2023 Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation AAAI 2023 Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets ICML 2023 End-to-End Learning for Optimization via Constraint-Enforcing Approximators AAAI 2023 End-to-End Learning for Stochastic Optimization: A Bayesian Perspective ICML 2023 Energy-Based Sliced Wasserstein Distance NeurIPS 2023 Energy-Efficient Scheduling with Predictions NeurIPS 2023 Engineering an Efficient Approximate DNF-Counter IJCAI 2023 Enhanced Stable View Synthesis CVPR 2023 Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering AAAI 2023 Enhancing Datalog Reasoning with Hypertree Decompositions IJCAI 2023 Entropic characterization of optimal rates for learning Gaussian mixtures COLT 2023 Entropic Neural Optimal Transport via Diffusion Processes NeurIPS 2023 Entropy Regularization for Population Estimation AAAI 2023 Equity Promotion in Public Transportation AAAI 2023 Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics NeurIPS 2023 Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics NeurIPS 2023 Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 2023