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

Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations NeurIPS 2024 Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms NeurIPS 2024 FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models EMNLP 2024 Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging AISTATS 2024 Fast ODE-based Sampling for Diffusion Models in Around 5 Steps CVPR 2024 Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization JMLR 2024 Fast Proxy Experiment Design for Causal Effect Identification NeurIPS 2024 Fast Randomized Low-Rank Adaptation of Pre-trained Language Models with PAC Regularization ACL 2024 Fast Rates for Bandit PAC Multiclass Classification NeurIPS 2024 Fast Rates in Pool-Based Batch Active Learning JMLR 2024 Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets NeurIPS 2024 FastSAG: Towards Fast Non-Autoregressive Singing Accompaniment Generation IJCAI 2024 Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm COLT 2024 Fast Stealthily Biased Sampling Using Sliced Wasserstein Distance ACML 2024 FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models NeurIPS 2024 Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning NeurIPS 2024 Fast two-time-scale stochastic gradient method with applications in reinforcement learning COLT 2024 Fast Updating Truncated SVD for Representation Learning with Sparse Matrices ICLR 2024 Fast Value Tracking for Deep Reinforcement Learning ICLR 2024 Fat-Shattering Dimension of k-fold Aggregations JMLR 2024 Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training ICML 2024 Favi-Score: A Measure for Favoritism in Automated Preference Ratings for Generative AI Evaluation ACL 2024 Fearless Stochasticity in Expectation Propagation NeurIPS 2024 Feasible Q-Learning for Average Reward Reinforcement Learning AISTATS 2024 Feature-Adaptive and Data-Scalable In-Context Learning ACL 2024