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)

The SoftCumulative Constraint with Quadratic Penalty AAAI 2022 The Strange Role of Information Asymmetry in Auctions—Does More Accurate Value Estimation Benefit a Bidder? AAAI 2022 The Triangle-Densest-K-Subgraph Problem: Hardness, Lovász Extension, and Application to Document Summarization AAAI 2022 The Two-Sided Game of Googol JMLR 2022 Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization NeurIPS 2022 Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control COLT 2022 Thompson Sampling for Bandit Learning in Matching Markets IJCAI 2022 Thompson Sampling for (Combinatorial) Pure Exploration ICML 2022 Thompson Sampling with a Mixture Prior AISTATS 2022 Three rates of convergence or separation via U-statistics in a dependent framework JMLR 2022 Thresholded Lasso Bandit ICML 2022 Threshold-free Pattern Mining Meets Multi-Objective Optimization: Application to Association Rules IJCAI 2022 Tiger: Disk-Adaptive Redundancy Without Placement Restrictions OSDI 2022 Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems NeurIPS 2022 Tight and Robust Private Mean Estimation with Few Users ICML 2022 Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations AAAI 2022 Tight query complexity bounds for learning graph partitions COLT 2022 Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints NeurIPS 2022 Time-Constrained Participatory Budgeting Under Uncertain Project Costs IJCAI 2022 tntorch: Tensor Network Learning with PyTorch JMLR 2022 TO-FLOW: Efficient Continuous Normalizing Flows With Temporal Optimization Adjoint With Moving Speed CVPR 2022 Top Two Algorithms Revisited NeurIPS 2022 Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning ACL 2022 Toward Physically Realizable Quantum Neural Networks AAAI 2022 Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022