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)

Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions JMLR 2024 Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective NeurIPS 2024 Tight Rates for Bandit Control Beyond Quadratics NeurIPS 2024 Time-Constrained Robust MDPs NeurIPS 2024 TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization AAAI 2024 Total Variation Distance Meets Probabilistic Inference ICML 2024 Towards a Framework for Learning of Algorithms: The Case of Learned Comparison Sorts IJCAI 2024 Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation AAAI 2024 Towards a Theory of Machine Learning on Graphs and its Applications in Combinatorial Optimization IJCAI 2024 Towards Domain-Specific Network Transport for Distributed DNN Training NSDI 2024 Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits NeurIPS 2024 Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery AAAI 2024 Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy IJCAI 2024 Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach ICLR 2024 Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport AAAI 2024 Towards Multi-Mode Outlier Robust Tensor Ring Decomposition AAAI 2024 Towards Optimal Subsidy Bounds for Envy-Freeable Allocations AAAI 2024 Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout EMNLP 2024 Towards provably performant congestion control NSDI 2024 Towards Revolutionized Smart Grids: An AI-Driven Broker for Improved Operational Efficiency IJCAI 2024 Towards Robust Learning to Optimize with Theoretical Guarantees CVPR 2024 Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms AAAI 2024 Towards Scalable and Stable Parallelization of Nonlinear RNNs NeurIPS 2024 Towards Scene Graph Anticipation ECCV 2024 Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent AAAI 2024