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)

BASS: Block-wise Adaptation for Speech Summarization Interspeech 2023 BAT: Boundary aware transducer for memory-efficient and low-latency ASR Interspeech 2023 Batch Differentiable Pose Refinement for In-The-Wild Camera/LiDAR Extrinsic Calibration CoRL 2023 Batch Multivalid Conformal Prediction ICLR 2023 Batch Prompting: Efficient Inference with Large Language Model APIs EMNLP 2023 Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization NeurIPS 2023 BayesDAG: Gradient-Based Posterior Inference for Causal Discovery NeurIPS 2023 Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors JMLR 2023 Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization AAAI 2023 Bayesian Data Selection JMLR 2023 Bayesian Design Principles for Frequentist Sequential Learning ICML 2023 Bayesian Estimation of Differential Privacy ICML 2023 Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors NeurIPS 2023 Bayesian Federated Neural Matching That Completes Full Information AAAI 2023 Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics UAI 2023 Bayesian inference for vertex-series-parallel partial orders UAI 2023 Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space NeurIPS 2023 Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval NeurIPS 2023 Bayesian Models for Targeted Cyber Deception Strategies (Student Abstract) AAAI 2023 Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts ICML 2023 Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability NeurIPS 2023 Bayesian numerical integration with neural networks UAI 2023 Bayesian online change point detection with Hilbert space approximate Student-t process ICML 2023 Bayesian Optimisation of Functions on Graphs NeurIPS 2023 Bayesian Optimization Meets Self-Distillation ICCV 2023