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)

Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate AISTATS 2024 Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions NeurIPS 2024 Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold ICLR 2024 Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits AAAI 2024 Decentralized Sum-of-Nonconvex Optimization AAAI 2024 Decision-Focused Evaluation of Worst-Case Distribution Shift UAI 2024 Decision-Focused Learning with Directional Gradients NeurIPS 2024 Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs AAAI 2024 DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization ICLR 2024 Decomposable Submodular Maximization in Federated Setting ICML 2024 Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning AAAI 2024 Decoupling Learning and Decision-Making: Breaking the O(√T) Barrier in Online Resource Allocation with First-Order Methods ICML 2024 DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection NeurIPS 2024 Deep Learning-Based Alternative Route Computation AISTATS 2024 Deep Learning for Computing Convergence Rates of Markov Chains NeurIPS 2024 Deep Plug-and-Play Nighttime Non-Blind Deblurring With Saturated Pixel Handling Schemes WACV 2024 Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling ICLR 2024 Deep Submodular Peripteral Networks NeurIPS 2024 Delegating Data Collection in Decentralized Machine Learning AISTATS 2024 Delegation-Relegation for Boolean Matrix Factorization AAAI 2024 Deletion-Robust Submodular Maximization with Knapsack Constraints AAAI 2024 Delving into the Convergence of Generalized Smooth Minimax Optimization ICML 2024 Density Ratio Estimation with Doubly Strong Robustness ICML 2024 Deploying ADVISER: Impact and Lessons from Using Artificial Intelligence for Child Vaccination Uptake in Nigeria AAAI 2024 Deploying Mobility-On-Demand for All by Optimizing Paratransit Services IJCAI 2024