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)

Nesting Particle Filters for Experimental Design in Dynamical Systems ICML 2024 Neur2BiLO: Neural Bilevel Optimization NeurIPS 2024 Neural Closure Certificates AAAI 2024 NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation NeurIPS 2024 Neural Optimal Transport with Lagrangian Costs UAI 2024 Neural Time-Reversed Generalized Riccati Equation AAAI 2024 New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering ICML 2024 New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem AAAI 2024 New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming ICML 2024 Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms NeurIPS 2024 NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem AAAI 2024 Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space ICLR 2024 No Dimensional Sampling Coresets for Classification ICML 2024 No Double Descent in Principal Component Regression: A High-Dimensional Analysis ICML 2024 No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation NeurIPS 2024 No Internal Regret with Non-convex Loss Functions AAAI 2024 Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization ICML 2024 Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation NeurIPS 2024 Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search NeurIPS 2024 Nonasymptotic regret analysis of adaptive linear quadratic control with model misspecification L4DC 2024 Non-clairvoyant Scheduling with Partial Predictions ICML 2024 Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method AISTATS 2024 Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis IJCAI 2024 Nonconvex scenario optimization for data-driven reachability L4DC 2024 Non-convex Stochastic Composite Optimization with Polyak Momentum ICML 2024