Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Fast Attention Requires Bounded Entries NeurIPS 2023 Fast Bellman Updates for Wasserstein Distributionally Robust MDPs NeurIPS 2023 Fast Block Coordinate Descent for Non-Convex Group Regularizations AISTATS 2023 Fast Computation of Branching Process Transition Probabilities via ADMM AISTATS 2023 Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions NeurIPS 2023 Fast Convergence in Learning Two-Layer Neural Networks with Separable Data AAAI 2023 Fast Converging Anytime Model Counting AAAI 2023 Fast Counterfactual Inference for History-Based Reinforcement Learning AAAI 2023 Fast Differentiable Transient Rendering for Non-Line-of-Sight Reconstruction WACV 2023 Faster Adaptive Federated Learning AAAI 2023 Faster Differentially Private Convex Optimization via Second-Order Methods NeurIPS 2023 Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata IJCAI 2023 Faster federated optimization under second-order similarity ICLR 2023 Faster Gradient-Free Methods for Escaping Saddle Points ICLR 2023 Faster Margin Maximization Rates for Generic Optimization Methods NeurIPS 2023 Faster Minimum Bayes Risk Decoding with Confidence-based Pruning EMNLP 2023 Faster Rates of Convergence to Stationary Points in Differentially Private Optimization ICML 2023 Faster Relative Entropy Coding with Greedy Rejection Coding NeurIPS 2023 Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition NeurIPS 2023 Fast Excess Risk Rates via Offset Rademacher Complexity ICML 2023 Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression JMLR 2023 Fast Full-frame Video Stabilization with Iterative Optimization ICCV 2023 Fast Globally Optimal Surface Normal Estimation from an Affine Correspondence ICCV 2023 Fast Heterogeneous Federated Learning with Hybrid Client Selection UAI 2023 Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction ICCV 2023