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)

Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NeurIPS 2024 Sample Efficient Learning of Factored Embeddings of Tensor Fields AISTATS 2024 Sample-Efficient Quality-Diversity by Cooperative Coevolution ICLR 2024 Sampling for Beyond-Worst-Case Online Ranking AAAI 2024 Sampling in Unit Time with Kernel Fisher-Rao Flow ICML 2024 Sampling Polytopes with Riemannian HMC: Faster Mixing via the Lewis Weights Barrier COLT 2024 Sampling Winners in Ranked Choice Voting IJCAI 2024 Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features ICML 2024 SAT-Based Algorithms for Regular Graph Pattern Matching AAAI 2024 SAT-Based Tree Decomposition with Iterative Cascading Policy Selection AAAI 2024 Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks NeurIPS 2024 SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP ICML 2024 Scalable 3D Registration via Truncated Entry-wise Absolute Residuals CVPR 2024 Scalable DBSCAN with Random Projections NeurIPS 2024 Scalable Distance-based Multi-Agent Relative State Estimation via Block Multiconvex Optimization RSS 2024 Scalable DP-SGD: Shuffling vs. Poisson Subsampling NeurIPS 2024 Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data JMLR 2024 Scalable Kernel Inverse Optimization NeurIPS 2024 Scalable Landmark Hub Labeling for Optimal and Bounded Suboptimal Pathfinding IJCAI 2024 Scalable Optimization in the Modular Norm NeurIPS 2024 Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport ICML 2024 Scaling Exponents Across Parameterizations and Optimizers ICML 2024 Scaling Laws in Linear Regression: Compute, Parameters, and Data NeurIPS 2024 Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon AAAI 2024 SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation System CVPR 2024