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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)

Modified Policy Iteration for Exponential Cost Risk Sensitive MDPs L4DC 2023 Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023 Modulated Neural ODEs NeurIPS 2023 Module-wise Training of Neural Networks via the Minimizing Movement Scheme NeurIPS 2023 MomentDiff: Generative Video Moment Retrieval from Random to Real NeurIPS 2023 Moments, Random Walks, and Limits for Spectrum Approximation COLT 2023 Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions ICML 2023 Momentum Provably Improves Error Feedback! NeurIPS 2023 Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport ICLR 2023 Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture NeurIPS 2023 Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap AAAI 2023 MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows ICML 2023 Monotonic Alpha-divergence Minimisation for Variational Inference JMLR 2023 Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes ICML 2023 Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection ICCV 2023 Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design EMNLP 2023 Moral Responsibility for AI Systems NeurIPS 2023 MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope ICCV 2023 More for Less: Safe Policy Improvement with Stronger Performance Guarantees IJCAI 2023 Most Neural Networks Are Almost Learnable NeurIPS 2023 Motion Information Propagation for Neural Video Compression CVPR 2023 Motion Planning Under Uncertainty with Complex Agents and Environments via Hybrid Search (Extended Abstract) IJCAI 2023 MOT: Masked Optimal Transport for Partial Domain Adaptation CVPR 2023 MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition EMNLP 2023 MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring Based on a Dual-CNN Model AAAI 2023