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)

Balancing the Spread of Two Opinions in Sparse Social Networks (Student Abstract) AAAI 2022 Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms AAAI 2022 Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization AAAI 2022 Bandits for Structure Perturbation-Based Black-Box Attacks To Graph Neural Networks With Theoretical Guarantees CVPR 2022 Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization NeurIPS 2022 BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit IJCAI 2022 Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning AISTATS 2022 Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel NeurIPS 2022 Batched Dueling Bandits ICML 2022 Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity ICML 2022 Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms NeurIPS 2022 Bayesian Change-Point Detection for Bandit Feedback in Non-stationary Environments ACML 2022 Bayesian Continuous-Time Tucker Decomposition ICML 2022 Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization NeurIPS 2022 Bayesian Optimization over Permutation Spaces AAAI 2022 Bayesian Optimization under Stochastic Delayed Feedback ICML 2022 Bayesian quantile and expectile optimisation UAI 2022 Bending Graphs: Hierarchical Shape Matching Using Gated Optimal Transport CVPR 2022 Benefits of Permutation-Equivariance in Auction Mechanisms NeurIPS 2022 Best Arm Identification with Safety Constraints AISTATS 2022 Best Heuristic Identification for Constraint Satisfaction IJCAI 2022 Best of Both Worlds Model Selection NeurIPS 2022 Better Best of Both Worlds Bounds for Bandits with Switching Costs NeurIPS 2022 Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting AAAI 2022 Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness NeurIPS 2022