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)

Unsupervised Dialogue Topic Segmentation in Hyperdimensional Space Interspeech 2023 Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction NeurIPS 2023 Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation NeurIPS 2023 Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023 Unveiling the Latent Space Geometry of Push-Forward Generative Models ICML 2023 Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features ICML 2023 Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance EMNLP 2023 Unveiling the sampling density in non-uniform geometric graphs ICLR 2023 Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance MLHC 2023 USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning AAAI 2023 Use perturbations when learning from explanations NeurIPS 2023 User-level Private Stochastic Convex Optimization with Optimal Rates ICML 2023 Userspace Bypass: Accelerating Syscall-intensive Applications OSDI 2023 Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models NeurIPS 2023 Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy ICML 2023 Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks AISTATS 2023 Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms COLT 2023 Utilitarian Algorithm Configuration NeurIPS 2023 Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning AAAI 2023 UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy Prediction SemEval 2023 Validated Image Caption Rating Dataset NeurIPS 2023 Validation of a Task-Independent Cepstral Peak Prominence Measure with Voice Activity Detection Interspeech 2023 Validation of composite systems by discrepancy propagation UAI 2023 Valid P-Value for Deep Learning-driven Salient Region ICLR 2023 Variance-Aware Sparse Linear Bandits ICLR 2023