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)

Statistical-Computational Tradeoff in Single Index Models NeurIPS 2019 Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain AISTATS 2019 Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging ICML 2019 Stochastic algorithms with descent guarantees for ICA AISTATS 2019 Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate COLT 2019 Stochastic Bandits with Context Distributions NeurIPS 2019 Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement ICML 2019 Stochastic Canonical Correlation Analysis JMLR 2019 Stochastic Constraint Propagation for Mining Probabilistic Networks IJCAI 2019 Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match NeurIPS 2019 Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions COLT 2019 Stochastic Frank-Wolfe for Composite Convex Minimization NeurIPS 2019 Stochastic Goal Recognition Design AAAI 2019 Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction NeurIPS 2019 Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization ICML 2019 Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence ICML 2019 Stochastic Optimization of Sorting Networks via Continuous Relaxations ICLR 2019 Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates NeurIPS 2019 Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond NeurIPS 2019 Stochastic Submodular Maximization with Performance-Dependent Item Costs AAAI 2019 Stochastic Variance-Reduced Cubic Regularization Methods JMLR 2019 Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization NeurIPS 2019 Strategic Signaling for Selling Information Goods IJCAI 2019 Strategyproof and Approximately Maxmin Fair Share Allocation of Chores IJCAI 2019 Streaming Principal Component Analysis From Incomplete Data JMLR 2019