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)

Stochastic Q-learning for Large Discrete Action Spaces ICML 2024 Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions ICML 2024 Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates JMLR 2024 Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization AISTATS 2024 Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators NeurIPS 2024 Stochastic Weakly Convex Optimization beyond Lipschitz Continuity ICML 2024 Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity NeurIPS 2024 Stopping Bayesian Optimization with Probabilistic Regret Bounds NeurIPS 2024 STORYSUMM: Evaluating Faithfulness in Story Summarization EMNLP 2024 Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm ICML 2024 Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting NeurIPS 2024 Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models NeurIPS 2024 StreamAtt: Direct Streaming Speech-to-Text Translation with Attention-based Audio History Selection ACL 2024 Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach IJCAI 2024 Streaming Bayes GFlowNets NeurIPS 2024 Streamlining Conformal Information Retrieval via Score Refinement EMNLP 2024 Streamlining Speech Enhancement DNNs: an Automated Pruning Method Based on Dependency Graph with Advanced Regularized Loss Strategies Interspeech 2024 Strengthened stability analysis of discrete-time Lurie systems involving ReLU neural networks L4DC 2024 Strengthening Layer Interaction via Dynamic Layer Attention IJCAI 2024 Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation NAACL 2024 Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning CVPR 2024 StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning ICLR 2024 Structural Inference of Dynamical Systems with Conjoined State Space Models NeurIPS 2024 Structural perspective on constraint-based learning of Markov networks AISTATS 2024 Structured d-DNNF Is Not Closed under Negation IJCAI 2024