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)

Black-box Optimization with a Politician ICML 2016 Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning NeurIPS 2016 Blind Image Deconvolution by Automatic Gradient Activation CVPR 2016 Boolean Matrix Factorization and Noisy Completion via Message Passing ICML 2016 Bootstrap-Based Regularization for Low-Rank Matrix Estimation JMLR 2016 Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization AISTATS 2016 Budgeted stream-based active learning via adaptive submodular maximization NeurIPS 2016 Catching heuristics are optimal control policies NeurIPS 2016 Causal meets Submodular: Subset Selection with Directed Information NeurIPS 2016 Chained Gaussian Processes AISTATS 2016 CMA-ES with Optimal Covariance Update and Storage Complexity NeurIPS 2016 Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions NeurIPS 2016 Coin Betting and Parameter-Free Online Learning NeurIPS 2016 Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms JMLR 2016 Combinatorial Multi-Armed Bandit with General Reward Functions NeurIPS 2016 Combinatorial semi-bandit with known covariance NeurIPS 2016 Combined Optimization and Reinforcement Learning for Manipulation Skills RSS 2016 Computationally Efficient Nyström Approximation using Fast Transforms ICML 2016 Computing and maximizing influence in linear threshold and triggering models NeurIPS 2016 Conformal Surface Alignment With Optimal Mobius Search CVPR 2016 Consensus of Non-Rigid Reconstructions CVPR 2016 Consistently Estimating Markov Chains with Noisy Aggregate Data AISTATS 2016 Contextual semibandits via supervised learning oracles NeurIPS 2016 Control Functionals for Quasi-Monte Carlo Integration AISTATS 2016 Controlling the distance to a Kemeny consensus without computing it ICML 2016