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)

Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics NeurIPS 2012 A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NeurIPS 2012 Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit AISTATS 2012 Bayesian Quadrature for Ratios AISTATS 2012 Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence NeurIPS 2012 Beyond Logarithmic Bounds in Online Learning AISTATS 2012 Calibrated Elastic Regularization in Matrix Completion NeurIPS 2012 Clustering Aggregation as Maximum-Weight Independent Set NeurIPS 2012 Clustering by Nonnegative Matrix Factorization Using Graph Random Walk NeurIPS 2012 Coherence Functions with Applications in Large-Margin Classification Methods JMLR 2012 Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NeurIPS 2012 Communication-Efficient Algorithms for Statistical Optimization NeurIPS 2012 Complexity of Bethe Approximation AISTATS 2012 Compressive Sensing MRI with Wavelet Tree Sparsity NeurIPS 2012 Confusion-Based Online Learning and a Passive-Aggressive Scheme NeurIPS 2012 Continuous Relaxations for Discrete Hamiltonian Monte Carlo NeurIPS 2012 Convergence and Energy Landscape for Cheeger Cut Clustering NeurIPS 2012 Convergence Rate Analysis of MAP Coordinate Minimization Algorithms NeurIPS 2012 Convex Multi-view Subspace Learning NeurIPS 2012 CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NeurIPS 2012 Data dependent kernels in nearly-linear time AISTATS 2012 DEAP: Evolutionary Algorithms Made Easy JMLR 2012 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Deterministic Annealing for Semi-Supervised Structured Output Learning AISTATS 2012 Distance Metric Learning with Eigenvalue Optimization JMLR 2012