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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Markup-to-Image Diffusion Models with Scheduled Sampling ICLR 2023 MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation JMLR 2023 MARS: Masked Automatic Ranks Selection in Tensor Decompositions AISTATS 2023 Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML 2023 Masked Wavelet Representation for Compact Neural Radiance Fields CVPR 2023 Massively parallel reweighted wake-sleep UAI 2023 Mastering Spatial Graph Prediction of Road Networks ICCV 2023 MathNAS: If Blocks Have a Role in Mathematical Architecture Design NeurIPS 2023 Matrix Compression via Randomized Low Rank and Low Precision Factorization NeurIPS 2023 MAUVE Scores for Generative Models: Theory and Practice JMLR 2023 Maximal Initial Learning Rates in Deep ReLU Networks ICML 2023 Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness NeurIPS 2023 Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam ICLR 2023 Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition ICLR 2023 Maximizing the Probability of Fixation in the Positional Voter Model AAAI 2023 Maximum Entropy Loss, the Silver Bullet Targeting Backdoor Attacks in Pre-trained Language Models ACL 2023 Maximum likelihood estimation in Gaussian process regression is ill-posed JMLR 2023 Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling MLHC 2023 Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming ICML 2023 Max-Margin Token Selection in Attention Mechanism NeurIPS 2023 Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence ICLR 2023 Max-Quantile Grouped Infinite-Arm Bandits ALT 2023 MB-TaylorFormer: Multi-Branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing ICCV 2023 MCAL: Minimum Cost Human-Machine Active Labeling ICLR 2023 MCR-Data2vec 2.0: Improving Self-supervised Speech Pre-training via Model-level Consistency Regularization Interspeech 2023