Skip to content
conftrace_

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

1
16
133
440
1,353
1,441
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Efficient Gradient Approximation Method for Constrained Bilevel Optimization AAAI 2023 Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks ICCV 2023 Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition EMNLP 2023 Efficiently Controlling Multiple Risks with Pareto Testing ICLR 2023 Efficiently learning the graph for semi-supervised learning UAI 2023 Efficient Map Sparsification Based on 2D and 3D Discretized Grids CVPR 2023 Efficient Online Clustering with Moving Costs NeurIPS 2023 Efficient preconditioned stochastic gradient descent for estimation in latent variable models ICML 2023 Efficient Quantum Algorithms for Quantum Optimal Control ICML 2023 Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation ICML 2023 Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs NeurIPS 2023 Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition CVPR 2023 Efficient Second-Order Plane Adjustment CVPR 2023 Efficient Semiring-Weighted Earley Parsing ACL 2023 Elastic Decision Transformer NeurIPS 2023 Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net JMLR 2023 Eliminating the Computation of Strongly Connected Components in Generalized Arc Consistency Algorithm for AllDifferent Constraint IJCAI 2023 Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation AAAI 2023 Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets ICML 2023 End-to-End Learning for Optimization via Constraint-Enforcing Approximators AAAI 2023 End-to-End Learning for Stochastic Optimization: A Bayesian Perspective ICML 2023 Energy-Based Sliced Wasserstein Distance NeurIPS 2023 Energy-Efficient Scheduling with Predictions NeurIPS 2023 Engineering an Efficient Approximate DNF-Counter IJCAI 2023 Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering AAAI 2023