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)

Contextual Multinomial Logit Bandits with General Value Functions NeurIPS 2024 Contextual Pandora’s Box AAAI 2024 Continual Counting with Gradual Privacy Expiration NeurIPS 2024 Continuous Partitioning for Graph-Based Semi-Supervised Learning NeurIPS 2024 Continuous Prediction with Experts' Advice JMLR 2024 Contracting with a Learning Agent NeurIPS 2024 Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo (Extended Abstract) COLT 2024 Contract Scheduling with Distributional and Multiple Advice IJCAI 2024 Contrasting Multiple Representations with the Multi-Marginal Matching Gap ICML 2024 Contrastive Predict-and-Search for Mixed Integer Linear Programs ICML 2024 Controlling Continuous Relaxation for Combinatorial Optimization NeurIPS 2024 Control with Patterns: A D-learning Method CoRL 2024 Convergence Analysis of Inexact Over-relaxed ADMM via Dissipativity Theory ACML 2024 Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms ICML 2024 Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point ICML 2024 Convergence for nonconvex ADMM, with applications to CT imaging JMLR 2024 Convergence Guarantees for the DeepWalk Embedding on Block Models ICML 2024 Convergence of log(1/ε) for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis NeurIPS 2024 Convergence of Bayesian Bilevel Optimization ICLR 2024 Convergence of Kinetic Langevin Monte Carlo on Lie groups COLT 2024 Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs JMLR 2024 Convergence of No-Swap-Regret Dynamics in Self-Play NeurIPS 2024 Convergence of Online Learning Algorithm for a Mixture of Multiple Linear Regressions ICML 2024 Convergence of Some Convex Message Passing Algorithms to a Fixed Point ICML 2024 Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games AISTATS 2024