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)

PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness EMNLP 2024 Position: Leverage Foundational Models for Black-Box Optimization ICML 2024 Position: Optimization in SciML Should Employ the Function Space Geometry ICML 2024 Position: Understanding LLMs Requires More Than Statistical Generalization ICML 2024 Positive Concave Deep Equilibrium Models ICML 2024 Post-edits Are Preferences Too EMNLP 2024 Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds ICML 2024 Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel ICLR 2024 Posterior Uncertainty Quantification in Neural Networks using Data Augmentation AISTATS 2024 Post-Hoc Reversal: Are We Selecting Models Prematurely? NeurIPS 2024 Post-Regularization Confidence Bands for Ordinary Differential Equations JMLR 2024 Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract) AAAI 2024 Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract) AAAI 2024 Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic JMLR 2024 PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping AAAI 2024 Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint NeurIPS 2024 Practical Bayesian Algorithm Execution via Posterior Sampling NeurIPS 2024 Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory ICML 2024 Practical Hybrid Gradient Compression for Federated Learning Systems IJCAI 2024 Practical Performance Guarantees for Pipelined DNN Inference ICML 2024 Practical Shuffle Coding NeurIPS 2024 Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input ICML 2024 PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search IJCAI 2024 PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models CVPR 2024 Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms ICML 2024