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)

Certifying Parity Reasoning Efficiently Using Pseudo-Boolean Proofs AAAI 2021 ChaCha for Online AutoML ICML 2021 Challenges and Opportunities of Building Fast GBDT Systems IJCAI 2021 Chance-constrained quasi-convex optimization with application to data-driven switched systems control L4DC 2021 Characterizing the Loss Landscape in Non-Negative Matrix Factorization AAAI 2021 Choosing the Right Algorithm With Hints From Complexity Theory IJCAI 2021 Cinematic-L1 Video Stabilization With a Log-Homography Model WACV 2021 Classification with Few Tests through Self-Selection AAAI 2021 CLP: Efficient and Scalable Search on Compressed Text Logs OSDI 2021 COKE: Communication-Censored Decentralized Kernel Learning JMLR 2021 Combinatorial Blocking Bandits with Stochastic Delays ICML 2021 Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021 Combinatorial Learning of Graph Edit Distance via Dynamic Embedding CVPR 2021 Combinatorial Optimization and Reasoning with Graph Neural Networks IJCAI 2021 Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach NeurIPS 2021 Combinatorial Pure Exploration with Bottleneck Reward Function NeurIPS 2021 Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback AAAI 2021 Combinatorial semi-bandit in the non-stationary environment UAI 2021 Combining Preference Elicitation with Local Search and Greedy Search for Matroid Optimization AAAI 2021 Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization AAAI 2021 Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem AAAI 2021 Communication-Aware Collaborative Learning AAAI 2021 Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA JMLR 2021 Communication-Efficient Distributed Optimization with Quantized Preconditioners ICML 2021 Communication-Efficient Distributed SVD via Local Power Iterations ICML 2021