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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)

Papers per year

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16
133
440
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2000
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Papers (including subtopics)

Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective NeurIPS 2022 Asymptotic Degradation of Linear Regression Estimates with Strategic Data Sources ALT 2022 Asymptotic Network Independence and Step-Size for a Distributed Subgradient Method JMLR 2022 Asymptotics of smoothed Wasserstein distances in the small noise regime NeurIPS 2022 Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape JMLR 2022 A Temporal Extension of Latent Dirichlet Allocation for Unsupervised Acoustic Unit Discovery Interspeech 2022 A Theory of Tournament Representations ICLR 2022 Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems NeurIPS 2022 Augmenting Online Algorithms with ε-Accurate Predictions NeurIPS 2022 Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions EMNLP 2022 A Unified Convergence Theorem for Stochastic Optimization Methods NeurIPS 2022 A Unified Framework for Deep Symbolic Regression NeurIPS 2022 A Unified Framework for Implicit Sinkhorn Differentiation CVPR 2022 A Unifying Framework for Online Optimization with Long-Term Constraints NeurIPS 2022 A Unifying Framework for Variance-Reduced Algorithms for Findings Zeroes of Monotone operators JMLR 2022 A Universal Error Measure for Input Predictions Applied to Online Graph Problems NeurIPS 2022 AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms AAAI 2022 Automatic differentiation of nonsmooth iterative algorithms NeurIPS 2022 Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property ICLR 2022 A Variant of Anderson Mixing with Minimal Memory Size NeurIPS 2022 A Variant of Concurrent Constraint Programming on GPU AAAI 2022 A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy AISTATS 2022 A Weighting-Based Tabu Search Algorithm for the p-Next Center Problem IJCAI 2022 Backpressure Flow Control NSDI 2022 Balancing adaptability and non-exploitability in repeated games UAI 2022