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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)

A Bayesian Approach to Robust Inverse Reinforcement Learning CoRL 2023 A Bayesian Take on Gaussian Process Networks NeurIPS 2023 A Better Way to Do Masked Language Model Scoring ACL 2023 Abide by the law and follow the flow: conservation laws for gradient flows NeurIPS 2023 A Blackbox Approach to Best of Both Worlds in Bandits and Beyond COLT 2023 A Blessing of Dimensionality in Membership Inference through Regularization AISTATS 2023 A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation CoNLL 2023 A Bounded Ability Estimation for Computerized Adaptive Testing NeurIPS 2023 Absolute Position Embedding Learns Sinusoid-like Waves for Attention Based on Relative Position EMNLP 2023 Abstractive Text Summarization Using the BRIO Training Paradigm ACL 2023 A/B Testing in Network Data with Covariate-Adaptive Randomization ICML 2023 A Case of Exponential Convergence Rates for SVM AISTATS 2023 A Category-theoretical Meta-analysis of Definitions of Disentanglement ICML 2023 AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration AAAI 2023 Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization ICML 2023 Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations ICML 2023 Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism NeurIPS 2023 Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems ICML 2023 Accelerated Primal-Dual Mirror Dynamics for Centralized and Distributed Constrained Convex Optimization Problems JMLR 2023 Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization NeurIPS 2023 Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties COLT 2023 Accelerated Single-Call Methods for Constrained Min-Max Optimization ICLR 2023 Accelerated Stochastic Optimization Methods under Quasar-convexity ICML 2023 Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation NeurIPS 2023 Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance NeurIPS 2023