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)

Configurable Mirror Descent: Towards a Unification of Decision Making ICML 2024 Conformal Inverse Optimization NeurIPS 2024 Conformal Prediction Regions for Time Series Using Linear Complementarity Programming AAAI 2024 Confounded Budgeted Causal Bandits CLeaR 2024 Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion NeurIPS 2024 Consistent Multiclass Algorithms for Complex Metrics and Constraints JMLR 2024 Consistent Optimal Transport with Empirical Conditional Measures AISTATS 2024 Consistent Submodular Maximization ICML 2024 Constant Acceleration Flow NeurIPS 2024 Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication AISTATS 2024 Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024 Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm ICLR 2024 Constrained Binary Decision Making NeurIPS 2024 Constrained Diffusion with Trust Sampling NeurIPS 2024 Constrained Layout Generation with Factor Graphs CVPR 2024 Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024 Constrained Sampling with Primal-Dual Langevin Monte Carlo NeurIPS 2024 Constrained Synthesis with Projected Diffusion Models NeurIPS 2024 Constraint-Free Structure Learning with Smooth Acyclic Orientations ICLR 2024 Constructive Interpolation and Concept-Based Beth Definability for Description Logics via Sequents IJCAI 2024 Content Filtering with Inattentive Information Consumers AAAI 2024 Contextual Bandits with Budgeted Information Reveal AISTATS 2024 Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression JMLR 2024 Contextual Decision-Making with Knapsacks Beyond the Worst Case NeurIPS 2024 Contextual Linear Optimization with Bandit Feedback NeurIPS 2024