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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)

Finite Versus Infinite Neural Networks: an Empirical Study NeurIPS 2020 First-Order Bayesian Regret Analysis of Thompson Sampling ALT 2020 First-Order Methods for Large-Scale Market Equilibrium Computation NeurIPS 2020 Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint L4DC 2020 Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm NeurIPS 2020 FlightTracker: Consistency across Read-Optimized Online Stores at Facebook OSDI 2020 Flow-Based Network Creation Games IJCAI 2020 Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games NeurIPS 2020 FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints AAAI 2020 Fourier Sparse Leverage Scores and Approximate Kernel Learning NeurIPS 2020 Frequency Configuration for Low-Power Wide-Area Networks in a Heartbeat NSDI 2020 From Finite to Countable-Armed Bandits NeurIPS 2020 From Nesterov’s Estimate Sequence to Riemannian Acceleration COLT 2020 From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models ICML 2020 From Support Propagation to Belief Propagation in Constraint Programming (Extended Abstract) IJCAI 2020 From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering NeurIPS 2020 Fully Dynamic Algorithm for Constrained Submodular Optimization NeurIPS 2020 GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020 Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling AISTATS 2020 Gamification of Pure Exploration for Linear Bandits ICML 2020 Gaussian Sketching yields a J-L Lemma in RKHS AISTATS 2020 Gaussian-Smoothed Optimal Transport: Metric Structure and Statistical Efficiency AISTATS 2020 GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs NeurIPS 2020 gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors CVPR 2020 Generalised Bayesian Filtering via Sequential Monte Carlo NeurIPS 2020