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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

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52
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828
3,646
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2000
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Papers (including subtopics)

Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon COLT 2021 Is SGD a Bayesian sampler? Well, almost JMLR 2021 Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork AAAI 2021 Iterative Amortized Policy Optimization NeurIPS 2021 Iterative Connecting Probability Estimation for Networks NeurIPS 2021 Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate NeurIPS 2021 Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods NeurIPS 2021 Iterative regularization for convex regularizers AISTATS 2021 It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems NeurIPS 2021 It was “all” for “nothing”: sharp phase transitions for noiseless discrete channels COLT 2021 iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression CVPR 2021 JEM++: Improved Techniques for Training JEM ICCV 2021 Johnson-Lindenstrauss Transforms with Best Confidence COLT 2021 Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation CVPR 2021 Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models EACL 2021 Joint Feature Enhancement and Speaker Recognition with Multi-Objective Task-Oriented Network Interspeech 2021 Joint inference and input optimization in equilibrium networks NeurIPS 2021 Joint Inference for Neural Network Depth and Dropout Regularization NeurIPS 2021 Jointly Learning Prices and Product Features IJCAI 2021 Joint Online Learning and Decision-making via Dual Mirror Descent ICML 2021 Jump-Starting Item Parameters for Adaptive Language Tests EMNLP 2021 Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory ICLR 2021 Kernel-Based Reinforcement Learning: A Finite-Time Analysis ICML 2021 Kernel Continual Learning ICML 2021 Kernel-convoluted Deep Neural Networks with Data Augmentation AAAI 2021