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)

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Papers (including subtopics)

Sparsity, variance and curvature in multi-armed bandits ALT 2018 Speaker Activity Detection and Minimum Variance Beamforming for Source Separation Interspeech 2018 Speaker Recognition with Nonlinear Distortion: Clipping Analysis and Impact Interspeech 2018 Spectral Algorithms for Computing Fair Support Vector Machines AISTATS 2018 Spectral Filtering for General Linear Dynamical Systems NeurIPS 2018 Speech Enhancement Using the Minimum-probability-of-error Criterion Interspeech 2018 Speeding Up Neural Machine Translation Decoding by Cube Pruning EMNLP 2018 SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator NeurIPS 2018 Stackelberg Security Games: Looking Beyond a Decade of Success IJCAI 2018 Statistical Sparse Online Regression: A Diffusion Approximation Perspective AISTATS 2018 Steering Social Activity: A Stochastic Optimal Control Point Of View JMLR 2018 Stein Points ICML 2018 Step Size Matters in Deep Learning NeurIPS 2018 Stochastic algorithms for entropy-regularized optimal transport problems AISTATS 2018 Stochastic Anytime Search for Bounding Marginal MAP IJCAI 2018 Stochastic Chebyshev Gradient Descent for Spectral Optimization NeurIPS 2018 Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities NeurIPS 2018 Stochastic Cubic Regularization for Fast Nonconvex Optimization NeurIPS 2018 Stochastic Expectation Maximization with Variance Reduction NeurIPS 2018 Stochastic Multi-armed Bandits in Constant Space AISTATS 2018 Stochastic PCA with ℓ_2 and ℓ_1 Regularization ICML 2018 Stochastic Proximal Algorithms for AUC Maximization ICML 2018 Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models IJCAI 2018 Stochastic Spectral and Conjugate Descent Methods NeurIPS 2018 Stochastic Three-Composite Convex Minimization with a Linear Operator AISTATS 2018