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)

Adaptive multi-fidelity optimization with fast learning rates AISTATS 2020 Adaptive Online Estimation of Piecewise Polynomial Trends NeurIPS 2020 Adaptive Probing Policies for Shortest Path Routing NeurIPS 2020 Adaptive Reduced Rank Regression NeurIPS 2020 Adaptive Sampling for Estimating Probability Distributions ICML 2020 Adaptive Shrinkage Estimation for Streaming Graphs NeurIPS 2020 Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition ICML 2020 Adaptive Submodular Maximization under Stochastic Item Costs COLT 2020 Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs AAAI 2020 A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints JMLR 2020 ADDMC: Weighted Model Counting with Algebraic Decision Diagrams AAAI 2020 A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed AAAI 2020 A determinantal point process for column subset selection JMLR 2020 A Duality Approach for Regret Minimization in Average-Award Ergodic Markov Decision Processes L4DC 2020 Adversarial Attacks on Linear Contextual Bandits NeurIPS 2020 Adversarial Bandits with Corruptions: Regret Lower Bound and No-regret Algorithm NeurIPS 2020 Adversarial Blocking Bandits NeurIPS 2020 Adversarial Learning for 3D Matching UAI 2020 Adversarial Risk via Optimal Transport and Optimal Couplings ICML 2020 Aerial Manipulation Using Hybrid Force and Position NMPC Applied to Aerial Writing RSS 2020 A Fair Classifier Using Kernel Density Estimation NeurIPS 2020 A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option AISTATS 2020 A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization AISTATS 2020 A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization NeurIPS 2020 A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines L4DC 2020