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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
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Papers (including subtopics)

Paloma: A Benchmark for Evaluating Language Model Fit NeurIPS 2024 Panacea: Pareto Alignment via Preference Adaptation for LLMs NeurIPS 2024 Pandora’s Problem with Deadlines AAAI 2024 Parallel Affine Transformation Tuning of Markov Chain Monte Carlo ICML 2024 Parallel Empirical Evaluations: Resilience despite Concurrency AAAI 2024 Parallel-in-Time Probabilistic Numerical ODE Solvers JMLR 2024 Parallelizing Linear Transformers with the Delta Rule over Sequence Length NeurIPS 2024 Parallelizing Model-based Reinforcement Learning Over the Sequence Length NeurIPS 2024 Parallelizing non-linear sequential models over the sequence length ICLR 2024 Parameter-adaptive approximate MPC: Tuning neural-network controllers without retraining L4DC 2024 Parameter-Agnostic Optimization under Relaxed Smoothness AISTATS 2024 Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks EMNLP 2024 Parameter Estimation in DAGs from Incomplete Data via Optimal Transport ICML 2024 Parameter-free Clipped Gradient Descent Meets Polyak NeurIPS 2024 Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants AAAI 2024 Parameterized Complexity of Kidney Exchange Revisited IJCAI 2024 Parameterized fast and safe tracking (FaSTrack) using DeepReach L4DC 2024 Parameterized Physics-informed Neural Networks for Parameterized PDEs ICML 2024 Parameterized Projected Bellman Operator AAAI 2024 Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent NeurIPS 2024 Parametric model reduction of mean-field and stochastic systems via higher-order action matching NeurIPS 2024 Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models NAACL 2024 Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances NSDI 2024 Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution ICLR 2024 Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization AAAI 2024