conftrace_

Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

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Papers (including subtopics)

GRaCE: Balancing Multiple Criteria to Achieve Stable, Collision-Free, and Functional Grasps RSS 2024 Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NeurIPS 2024 Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization ICML 2024 Gradient descent in matrix factorization: Understanding large initialization UAI 2024 Gradient-free Decoder Inversion in Latent Diffusion Models NeurIPS 2024 Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization NeurIPS 2024 Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm JMLR 2024 Gradient Guidance for Diffusion Models: An Optimization Perspective NeurIPS 2024 Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints NeurIPS 2024 Gradient-Variation Online Learning under Generalized Smoothness NeurIPS 2024 Gradual Domain Adaptation: Theory and Algorithms JMLR 2024 Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization NeurIPS 2024 Graph Clustering Methods Derived from Column Subset Selection (Student Abstract) AAAI 2024 Graph Learning for Numeric Planning NeurIPS 2024 Graph Machine Learning through the Lens of Bilevel Optimization AISTATS 2024 Graph Mixup on Approximate Gromov–Wasserstein Geodesics ICML 2024 Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm ICML 2024 Graph Partitioning with a Move Budget AISTATS 2024 Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees AAAI 2024 Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments AAAI 2024 Group-wise oracle-efficient algorithms for online multi-group learning NeurIPS 2024 Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery JMLR 2024 Guidance Graph Optimization for Lifelong Multi-Agent Path Finding IJCAI 2024 Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization NeurIPS 2024 Guide to Numerical Experiments on Elections in Computational Social Choice IJCAI 2024