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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
1,353
1,441
2000
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Papers (including subtopics)

Predictive safety filter using system level synthesis L4DC 2023 Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints AAAI 2023 Predict-then-Calibrate: A New Perspective of Robust Contextual LP NeurIPS 2023 Preferential Subsampling for Stochastic Gradient Langevin Dynamics AISTATS 2023 Pricing against a Budget and ROI Constrained Buyer AISTATS 2023 Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems ICML 2023 Primal-Dual Algorithms with Predictions for Online Bounded Allocation and Ad-Auctions Problems ALT 2023 Principled Acceleration of Iterative Numerical Methods Using Machine Learning ICML 2023 Privacy Attacks on Schedule-Driven Data AAAI 2023 Privacy-Aware Rejection Sampling JMLR 2023 Private estimation algorithms for stochastic block models and mixture models NeurIPS 2023 Private Federated Frequency Estimation: Adapting to the Hardness of the Instance NeurIPS 2023 Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks NeurIPS 2023 Probabilistic Exponential Integrators NeurIPS 2023 Probabilistic Generalization of Backdoor Trees with Application to SAT AAAI 2023 Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty AAAI 2023 Progressively Optimized Local Radiance Fields for Robust View Synthesis CVPR 2023 Projected Tensor Power Method for Hypergraph Community Recovery ICML 2023 Projection-free Adaptive Regret with Membership Oracles ALT 2023 Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems NeurIPS 2023 Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem NeurIPS 2023 Projection-Free Online Convex Optimization via Efficient Newton Iterations NeurIPS 2023 Projection-free Online Exp-concave Optimization COLT 2023 Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property ICLR 2023 Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning ICML 2023