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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)

Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods ICML 2024 Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient ICML 2024 Doubly Mild Generalization for Offline Reinforcement Learning NeurIPS 2024 DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) AAAI 2024 DPPMask: Masked Image Modeling With Determinantal Point Processes WACV 2024 DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract) AAAI 2024 Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization NeurIPS 2024 Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-Training via Differentiable Rendering of Line Segments CVPR 2024 Dropout Enhanced Bilevel Training ICLR 2024 Dropout Regularization Versus l2-Penalization in the Linear Model JMLR 2024 Dual Lagrangian Learning for Conic Optimization NeurIPS 2024 Dual-Scale Transformer for Large-Scale Single-Pixel Imaging CVPR 2024 Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model ACML 2024 Dueling Optimization with a Monotone Adversary ALT 2024 Dueling over Dessert, Mastering the Art of Repeated Cake Cutting NeurIPS 2024 DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation NeurIPS 2024 Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization ICML 2024 Dynamic Budget Throttling in Repeated Second-Price Auctions AAAI 2024 Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers ICML 2024 Dynamic Conditional Optimal Transport through Simulation-Free Flows NeurIPS 2024 Dynamic Correlation Clustering in Sublinear Update Time ICML 2024 Dynamic Facility Location in High Dimensional Euclidean Spaces ICML 2024 Dynamic Metric Embedding into lp Space ICML 2024 Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces ICLR 2024 Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition NeurIPS 2024