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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)

On Error Propagation of Diffusion Models ICLR 2024 One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently NeurIPS 2024 One-shot Federated Learning via Synthetic Distiller-Distillate Communication NeurIPS 2024 One-Shot Safety Alignment for Large Language Models via Optimal Dualization NeurIPS 2024 One Step Closer to Unbiased Aleatoric Uncertainty Estimation AAAI 2024 One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training AAAI 2024 One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention ICLR 2024 One-step Spiking Transformer with a Linear Complexity IJCAI 2024 On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024 One Year of Continuous and Automatic Data Gathering from Parliaments of European Union Member States COLING 2024 On Feature Learning in Structured State Space Models NeurIPS 2024 On Feynman-Kac training of partial Bayesian neural networks AISTATS 2024 On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis COLT 2024 On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models ICLR 2024 On Improving Error Resilience of Neural End-to-End Speech Coders Interspeech 2024 On Inference Stability for Diffusion Models AAAI 2024 On Interpolating Experts and Multi-Armed Bandits ICML 2024 On Leakage of Code Generation Evaluation Datasets EMNLP 2024 On learning history-based policies for controlling Markov decision processes AISTATS 2024 On Least Square Estimation in Softmax Gating Mixture of Experts ICML 2024 Online Bayesian Persuasion Without a Clue NeurIPS 2024 Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods AISTATS 2024 Online bipartite matching with imperfect advice ICML 2024 Online Calibrated and Conformal Prediction Improves Bayesian Optimization AISTATS 2024 Online Classification with Predictions NeurIPS 2024