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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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440
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2000
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Papers (including subtopics)

Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition ICLR 2025 GenAuction: A Generative Auction for Online Advertising AAAI 2025 General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization ICML 2025 Generalisation under gradient descent via deterministic PAC-Bayes ALT 2025 Generalization and Robustness of the Tilted Empirical Risk ICML 2025 Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging ICLR 2025 Generalization of noisy SGD in unbounded non-convex settings ICML 2025 Generalization Performance of Ensemble Clustering: From Theory to Algorithm ICML 2025 Generalized additive models via direct optimization of regularized decision stump forests ICML 2025 Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow ACL 2025 Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance AAAI 2025 Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization AAAI 2025 Generalizing Constraint Models in Constraint Acquisition AAAI 2025 Generative Adversarial Networks: Dynamics JMLR 2025 Geometric Operator Learning with Optimal Transport JMLR 2025 Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems ICML 2025 Geometry and Stability of Supervised Learning Problems JMLR 2025 Geometry-Dependent Matching Pursuit: a Transition Phase for Convergence on Linear Regression and LASSO JMLR 2025 GeoSplatting: Towards Geometry Guided Gaussian Splatting for Physically-based Inverse Rendering ICCV 2025 Get rid of your constraints and reparametrize: A study in NNLS and implicit bias AISTATS 2025 GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing ICCV 2025 Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations RSS 2025 Global Convergence of Adjoint-Optimized Neural PDEs JMLR 2025 Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization ICLR 2025 Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation AISTATS 2025