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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)

Minimax Regret for Partial Monitoring: Infinite Outcomes and Rustichini’s Regret COLT 2022 Minimax Regret on Patterns Using Kullback-Leibler Divergence Covering COLT 2022 Minimax Regret Optimization for Robust Machine Learning under Distribution Shift COLT 2022 Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems ALT 2022 Minimizing Control for Credit Assignment with Strong Feedback ICML 2022 Minimum latency training of sequence transducers for streaming end-to-end speech recognition Interspeech 2022 Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently NeurIPS 2022 Mirror Descent Policy Optimization ICLR 2022 Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance COLT 2022 Mirror Learning: A Unifying Framework of Policy Optimisation ICML 2022 MisConv: Convolutional Neural Networks for Missing Data WACV 2022 Mismatched No More: Joint Model-Policy Optimization for Model-Based RL NeurIPS 2022 Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo NeurIPS 2022 Misspecified Phase Retrieval with Generative Priors NeurIPS 2022 Mitigating Bias in Calibration Error Estimation AISTATS 2022 Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors AAAI 2022 Mitigating Neural Network Overconfidence with Logit Normalization ICML 2022 Mitigating statistical bias within differentially private synthetic data UAI 2022 Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables JMLR 2022 Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models ACL 2022 Mixture of Attention Heads: Selecting Attention Heads Per Token EMNLP 2022 MLP-3D: A MLP-Like 3D Architecture With Grouped Time Mixing CVPR 2022 MMA: Multi-Camera Based Global Motion Averaging AAAI 2022 MMT: Multi-way Multi-modal Transformer for Multimodal Learning IJCAI 2022 MoCoDA: Model-based Counterfactual Data Augmentation NeurIPS 2022