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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
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2000
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Papers (including subtopics)

Sampling Partial Acyclic Orientations in Chordal Graphs by the Lovasz Local Lemma (Student Abstract) AAAI 2021 Satisfiability and Algorithms for Non-uniform Random k-SAT AAAI 2021 Saturated Post-hoc Optimization for Classical Planning AAAI 2021 SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization NeurIPS 2021 Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks ICML 2021 Scalable Constrained Bayesian Optimization AISTATS 2021 Scalable First-Order Methods for Robust MDPs AAAI 2021 Scalable Intervention Target Estimation in Linear Models NeurIPS 2021 Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More ICML 2021 Scaling Neural Tangent Kernels via Sketching and Random Features NeurIPS 2021 Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification NeurIPS 2021 Scheduling jobs with stochastic holding costs NeurIPS 2021 Searching for More Efficient Dynamic Programs EMNLP 2021 Second Order Techniques for Learning Time-series with Structural Breaks AAAI 2021 Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021 Segcache: a memory-efficient and scalable in-memory key-value cache for small objects NSDI 2021 Selective Sampling for Online Best-arm Identification NeurIPS 2021 Selfish Creation of Social Networks AAAI 2021 Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification NeurIPS 2021 Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving ACL 2021 Sequential Algorithms for Testing Closeness of Distributions NeurIPS 2021 Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts ICML 2021 Sequential Random Sampling Revisited: Hidden Shuffle Method AISTATS 2021 SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation AISTATS 2021 SG-PALM: a Fast Physically Interpretable Tensor Graphical Model ICML 2021