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)

Bias Amplification in Language Model Evolution: An Iterated Learning Perspective NeurIPS 2024 Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values ICLR 2024 Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training NeurIPS 2024 Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks ICML 2024 Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding NeurIPS 2024 Big Learning Expectation Maximization AAAI 2024 Bi-Level One-Shot Architecture Search for Probabilistic Time Series Forecasting AutoML 2024 Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis ICLR 2024 BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks CVPR 2024 Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning ICML 2024 Binary Search with Distributional Predictions NeurIPS 2024 Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps NeurIPS 2024 Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments IJCAI 2024 BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models EMNLP 2024 BiPer: Binary Neural Networks using a Periodic Function CVPR 2024 Birdie: Advancing State Space Language Modeling with Dynamic Mixtures of Training Objectives EMNLP 2024 BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model ICML 2024 Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently NeurIPS 2024 BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation ACL 2024 Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding SemEval 2024 Bivariate Causal Discovery using Bayesian Model Selection ICML 2024 BizBench: A Quantitative Reasoning Benchmark for Business and Finance ACL 2024 Black-Box k-to-1-PCA Reductions: Theory and Applications COLT 2024 Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box JMLR 2024 BLADE: Benchmarking Language Model Agents for Data-Driven Science EMNLP 2024