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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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2000
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Papers (including subtopics)

Towards Decoding as Continuous Optimisation in Neural Machine Translation EMNLP 2017 Tracking Objects with Higher Order Interactions via Delayed Column Generation AISTATS 2017 Training Deep Networks without Learning Rates Through Coin Betting NeurIPS 2017 Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages Interspeech 2017 Translation Synchronization via Truncated Least Squares NeurIPS 2017 Truncated Max-Of-Convex Models CVPR 2017 Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect JMLR 2017 Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays NeurIPS 2017 Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques JMLR 2017 Unsupervised Sequential Sensor Acquisition AISTATS 2017 Using Constraint Programming to solve a Cryptanalytic Problem IJCAI 2017 Voting by sequential elimination with few voters IJCAI 2017 Weakening Covert Networks by Minimizing Inverse Geodesic Length IJCAI 2017 Welfare Guarantees from Data NeurIPS 2017 When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent NeurIPS 2017 When Security Games Hit Traffic: Optimal Traffic Enforcement Under One Sided Uncertainty IJCAI 2017 Which is the Fairest (Rent Division) of Them All? [Extended Abstract] IJCAI 2017 XOR-Sampling for Network Design with Correlated Stochastic Events IJCAI 2017 ZigZag: A New Approach to Adaptive Online Learning COLT 2017 Zonotope Hit-and-run for Efficient Sampling from Projection DPPs ICML 2017 A Bandit Framework for Strategic Regression NeurIPS 2016 A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors JMLR 2016 A Box-Constrained Approach for Hard Permutation Problems ICML 2016 Accelerated Stochastic Gradient Descent for Minimizing Finite Sums AISTATS 2016 Accelerating Online Convex Optimization via Adaptive Prediction AISTATS 2016