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)

Sentence Segmentation and Punctuation for Ancient Books Based on Supervised In-context Training COLING 2024 Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics NeurIPS 2024 Separations in the Representational Capabilities of Transformers and Recurrent Architectures NeurIPS 2024 Sequence Alignment-based Similarity Metric in Evolutionary Neural Architecture Search AutoML 2024 Sequence Length Independent Norm-Based Generalization Bounds for Transformers AISTATS 2024 SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking ICLR 2024 Sequence Reducible Holdout Loss for Language Model Pretraining COLING 2024 Sequential and Repetitive Pattern Learning for Temporal Knowledge Graph Reasoning COLING 2024 SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization NeurIPS 2024 Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NeurIPS 2024 Sequential Harmful Shift Detection Without Labels NeurIPS 2024 Sequential learning of the Pareto front for multi-objective bandits AISTATS 2024 Sequential Model-Based Diagnosis by Systematic Search (Abstract Reprint) AAAI 2024 Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference AISTATS 2024 Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models ICML 2024 Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood NeurIPS 2024 Sequoia: Scalable and Robust Speculative Decoding NeurIPS 2024 SER Evals: In-domain and Out-of-domain benchmarking for speech emotion recognition Interspeech 2024 SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation EMNLP 2024 ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing OSDI 2024 SeTformer Is What You Need for Vision and Language AAAI 2024 Settling the sample complexity of online reinforcement learning COLT 2024 SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem ICLR 2024 SGD vs GD: Rank Deficiency in Linear Networks NeurIPS 2024 Shadow Cones: A Generalized Framework for Partial Order Embeddings ICLR 2024