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)

SlimGPT: Layer-wise Structured Pruning for Large Language Models NeurIPS 2024 SLiM: Speculative Decoding with Hypothesis Reduction NAACL 2024 SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization NeurIPS 2024 Slowly Changing Adversarial Bandit Algorithms are Efficient for Discounted MDPs ALT 2024 SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining NeurIPS 2024 Small coresets via negative dependence: DPPs, linear statistics, and concentration NeurIPS 2024 Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract) COLT 2024 Small-loss Adaptive Regret for Online Convex Optimization ICML 2024 Small-scale proxies for large-scale Transformer training instabilities ICLR 2024 Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance CVPR 2024 Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates NeurIPS 2024 Smart Lexical Search for Label Flipping Adversial Attack ACL 2024 SMARTR: A Framework for Early Detection using Survival Analysis of Longitudinal Texts NAACL 2024 Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing ICLR 2024 Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension COLT 2024 Smoothed Online Classification can be Harder than Batch Classification NeurIPS 2024 Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence ICML 2024 Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes COLT 2024 Smooth Min-Max Monotonic Networks ICML 2024 Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning AISTATS 2024 Smoothness Adaptive Hypothesis Transfer Learning ICML 2024 Smooth Tchebycheff Scalarization for Multi-Objective Optimization ICML 2024 Sobolev Space Regularised Pre Density Models ICML 2024 Social Physics Informed Diffusion Model for Crowd Simulation AAAI 2024 Soft ascent-descent as a stable and flexible alternative to flooding NeurIPS 2024