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conftrace_

continuous optimization

152 papers

Papers

Online Non-Monotone DR-Submodular Maximization AAAI 2021 Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization IJCAI 2021 Skew-symmetrically perturbed gradient flow for convex optimization ACML 2021 SONIA: A Symmetric Blockwise Truncated Optimization Algorithm AISTATS 2021 Sublinear Classical and Quantum Algorithms for General Matrix Games AAAI 2021 Testing Group Fairness via Optimal Transport Projections ICML 2021 A Particle Swarm Based Algorithm for Functional Distributed Constraint Optimization Problems AAAI 2020 A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates ALT 2020 Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates NeurIPS 2020 Continuous Submodular Maximization: Beyond DR-Submodularity NeurIPS 2020 DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks NeurIPS 2020 Determinant Regularization for Gradient-Efficient Graph Matching CVPR 2020 Diffeomorphic Learning JMLR 2020 Efficient Continuous Pareto Exploration in Multi-Task Learning ICML 2020 Finite-Time Convergence in Continuous-Time Optimization ICML 2020 From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering NeurIPS 2020 Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs NeurIPS 2020 Learning Sparse Nonparametric DAGs AISTATS 2020 On the Role of Sparsity and DAG Constraints for Learning Linear DAGs NeurIPS 2020 Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization JMLR 2020 Sensor Placement for Spatial Gaussian Processes with Integral Observations UAI 2020 Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization JMLR 2020 Consensual Affine Transformations for Partial Valuation Aggregation AAAI 2019 Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems JMLR 2019 DAG-GNN: DAG Structure Learning with Graph Neural Networks ICML 2019