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)

Simultaneous Optical Flow and Intensity Estimation From an Event Camera CVPR 2016 Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling ICML 2016 Single Pass PCA of Matrix Products NeurIPS 2016 Sliced Wasserstein Kernels for Probability Distributions CVPR 2016 Slicer: Auto-Sharding for Datacenter Applications OSDI 2016 Social LSTM: Human Trajectory Prediction in Crowded Spaces CVPR 2016 Solving Marginal MAP Problems with NP Oracles and Parity Constraints NeurIPS 2016 Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow NeurIPS 2016 Solving Ridge Regression using Sketched Preconditioned SVRG ICML 2016 Solving Temporal Puzzles CVPR 2016 Sorting out typicality with the inverse moment matrix SOS polynomial NeurIPS 2016 SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling NeurIPS 2016 Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors With Application to Texture Recognition CVPR 2016 Sparse Parameter Recovery from Aggregated Data ICML 2016 Sparse Support Recovery with Non-smooth Loss Functions NeurIPS 2016 Sparsity and Error Analysis of Empirical Feature-Based Regularization Schemes JMLR 2016 Spectral Learning of Dynamic Systems from Nonequilibrium Data NeurIPS 2016 Split LBI: An Iterative Regularization Path with Structural Sparsity NeurIPS 2016 Stacked Attention Networks for Image Question Answering CVPR 2016 Starting Small - Learning with Adaptive Sample Sizes ICML 2016 Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices JMLR 2016 Stochastic Discrete Clenshaw-Curtis Quadrature ICML 2016 Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences NeurIPS 2016 Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo NeurIPS 2016 Stochastic Optimization for Large-scale Optimal Transport NeurIPS 2016