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)

DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization AAAI 2023 Data Banzhaf: A Robust Data Valuation Framework for Machine Learning AISTATS 2023 Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness NeurIPS 2023 Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances NeurIPS 2023 Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations NeurIPS 2023 Data Structures for Density Estimation ICML 2023 Daycare Matching in Japan: Transfers and Siblings AAAI 2023 D-CIPHER: Discovery of Closed-form Partial Differential Equations NeurIPS 2023 Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models NeurIPS 2023 Decentralization and Acceleration Enables Large-Scale Bundle Adjustment RSS 2023 Decentralized Learning: Theoretical Optimality and Practical Improvements JMLR 2023 Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence NeurIPS 2023 Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards NeurIPS 2023 Decentralized Riemannian Algorithm for Nonconvex Minimax Problems AAAI 2023 Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits AAAI 2023 Decipherment of Lost Ancient Scripts as Combinatorial Optimisation Using Coupled Simulated Annealing ACL 2023 DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization NeurIPS 2023 Deep Equilibrium Based Neural Operators for Steady-State PDEs NeurIPS 2023 Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search ICML 2023 Deep Graph Representation Learning and Optimization for Influence Maximization ICML 2023 Deep learning with kernels through RKHM and the Perron-Frobenius operator NeurIPS 2023 DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization CVPR 2023 Deep Momentum Multi-Marginal Schrödinger Bridge NeurIPS 2023 Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration NeurIPS 2023 Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking ACML 2023