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)

Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems AAAI 2024 Structural Inference of Dynamical Systems with Conjoined State Space Models NeurIPS 2024 Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model JMLR 2024 Structured Transforms Across Spaces with Cost-Regularized Optimal Transport AISTATS 2024 Submodular framework for structured-sparse optimal transport ICML 2024 Submodular information selection for hypothesis testing with misclassification penalties L4DC 2024 Submodular Minimax Optimization: Finding Effective Sets AISTATS 2024 Submodular Reinforcement Learning ICLR 2024 Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024 Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation ICML 2024 Sum-max Submodular Bandits AISTATS 2024 Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures AAAI 2024 Supervised Kernel Thinning NeurIPS 2024 Support Recovery in Sparse PCA with General Missing Data UAI 2024 Surrogate Bayesian Networks for Approximating Evolutionary Games AISTATS 2024 SWiBE: A Parameterized Stochastic Diffusion Process for Noise-Robust Bandwidth Expansion Interspeech 2024 Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems AAAI 2024 Symbolic Numeric Planning with Patterns AAAI 2024 Symbolic Regression with a Learned Concept Library NeurIPS 2024 SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization NeurIPS 2024 Symmetric Linear Bandits with Hidden Symmetry NeurIPS 2024 Symmetric Matrix Completion with ReLU Sampling ICML 2024 Symmetries in Overparametrized Neural Networks: A Mean Field View NeurIPS 2024 Symmetry-Informed Governing Equation Discovery NeurIPS 2024 Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More ICML 2024