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)

Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NeurIPS 2024 Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters ICML 2024 Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024 Kernel Semi-Implicit Variational Inference ICML 2024 Knowledge Compilation for Incremental and Checkable Stochastic Boolean Satisfiability IJCAI 2024 Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks NeurIPS 2024 Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate AISTATS 2024 Label Consistency-based Worker Filtering for Crowdsourcing UAI 2024 Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems L4DC 2024 Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis CVPR 2024 Large Language Models as Optimizers ICLR 2024 Large Scale Mapping of Indoor Magnetic Field by Local and Sparse Gaussian Processes CoRL 2024 Large-Scale Multi-Robot Coverage Path Planning via Local Search AAAI 2024 Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization AAAI 2024 Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency COLT 2024 Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities NeurIPS 2024 Latent Gaussian Graphical Models with Golazo Penalty PGM 2024 LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game IJCAI 2024 Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NeurIPS 2024 Learning-Augmented Algorithms for the Bahncard Problem NeurIPS 2024 Learning-Augmented Algorithms with Explicit Predictors NeurIPS 2024 Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems NeurIPS 2024 Learning-Augmented Dynamic Submodular Maximization NeurIPS 2024 Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem AAAI 2024 Learning-Based Algorithms for Graph Searching Problems AISTATS 2024