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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
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2000
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Papers (including subtopics)

Shadow Manifold Hamiltonian Monte Carlo AISTATS 2021 Ship Compute or Ship Data? Why Not Both? NSDI 2021 SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method IJCAI 2021 Shuffled Model of Differential Privacy in Federated Learning AISTATS 2021 Sifting through the noise: Universal first-order methods for stochastic variational inequalities NeurIPS 2021 Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry AAAI 2021 Simple combinatorial algorithms for combinatorial bandits: corruptions and approximations UAI 2021 Simple induction of (deterministic) probabilistic finite-state automata for phonotactics by stochastic gradient descent ACL 2021 Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions NeurIPS 2021 Simultaneous 2nd Price Item Auctions with No-Underbidding AAAI 2021 Single Pass Entrywise-Transformed Low Rank Approximation ICML 2021 Skew-symmetrically perturbed gradient flow for convex optimization ACML 2021 SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature CVPR 2021 Sliced Iterative Normalizing Flows ICML 2021 Slice Sampling Reparameterization Gradients NeurIPS 2021 Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction NeurIPS 2021 Smooth Bandit Optimization: Generalization to Holder Space AISTATS 2021 Smooth Bilevel Programming for Sparse Regularization NeurIPS 2021 Smooth Convex Optimization Using Sub-Zeroth-Order Oracles AAAI 2021 Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization NeurIPS 2021 Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large EMNLP 2021 Soft Tensor Regression JMLR 2021 Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning ICML 2021 Solving Graph-based Public Goods Games with Tree Search and Imitation Learning NeurIPS 2021 Solving Infinite-Domain CSPs Using the Patchwork Property AAAI 2021