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)

Learning-based rigid tube model predictive control L4DC 2024 Learning Coalition Structures with Games AAAI 2024 Learning Cut Generating Functions for Integer Programming NeurIPS 2024 Learning Decision Trees and Forests with Algorithmic Recourse ICML 2024 Learning diffusion at lightspeed NeurIPS 2024 Learning Diffusions under Uncertainty AAAI 2024 Learning Discretized Neural Networks under Ricci Flow JMLR 2024 Learning Distributions on Manifolds with Free-Form Flows NeurIPS 2024 Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation ICML 2024 Learning Elastic Costs to Shape Monge Displacements NeurIPS 2024 Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret AAAI 2024 Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NeurIPS 2024 Learning Fair Division from Bandit Feedback AISTATS 2024 Learning from Snapshots of Discrete and Continuous Data Streams NeurIPS 2024 Learning from Streaming Data when Users Choose ICML 2024 Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms NeurIPS 2024 Learning in Online Principal-Agent Interactions: The Power of Menus AAAI 2024 Learning Iterative Reasoning through Energy Diffusion ICML 2024 Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression IJCAI 2024 Learning Macroscopic Dynamics from Partial Microscopic Observations NeurIPS 2024 Learning Multiple Secrets in Mastermind ICML 2024 Learning Nash Equilibria in Rank-1 Games ICLR 2024 Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees NeurIPS 2024 Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s) ICLR 2024 Learning Optimal Tax Design in Nonatomic Congestion Games NeurIPS 2024