Continuous Optimization
4,424 papers
Papers per year
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46
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189
225
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371
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Papers
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract)
IJCAI 2023
GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints
NeurIPS 2023
Group SLOPE Penalized Low-Rank Tensor Regression
JMLR 2023
Group Sparse Optimal Transport for Sparse Process Flexibility Design
IJCAI 2023
Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products
NeurIPS 2023
Hierarchical Policy Blending As Optimal Transport
L4DC 2023
High-Dimensional Dueling Optimization with Preference Embedding
AAAI 2023
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent
AISTATS 2023
High Probability Bounds for Stochastic Continuous Submodular Maximization
AISTATS 2023
Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
NeurIPS 2023
IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation
AAAI 2023
Image Super-Resolution Using T-Tetromino Pixels
CVPR 2023
Implicit Bias of (Stochastic) Gradient Descent for Rank-1 Linear Neural Network
NeurIPS 2023
Implicit Neural Spatial Representations for Time-dependent PDEs
ICML 2023
Importance Sparsification for Sinkhorn Algorithm
JMLR 2023
Improved Algorithm for Regret Ratio Minimization in Multi-Objective Submodular Maximization
AAAI 2023
Improved Algorithms for Allen's Interval Algebra by Dynamic Programming with Sublinear Partitioning
IJCAI 2023
Improved Rate of First Order Algorithms for Entropic Optimal Transport
AISTATS 2023
Improving Pareto Front Learning via Multi-Sample Hypernetworks
AAAI 2023
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
NeurIPS 2023
InfoOT: Information Maximizing Optimal Transport
ICML 2023
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization
NeurIPS 2023
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
ICML 2023
iPlanner: Imperative Path Planning
RSS 2023
Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?
ICML 2023