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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Analysis of Corrected Graph Convolutions NIPS 2024
A Theoretical Perspective for Speculative Decoding Algorithm NIPS 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters NIPS 2024
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions NIPS 2024
Multi-times Monte Carlo Rendering for Inter-reflection Reconstruction NIPS 2024
Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network NIPS 2024
A hierarchical decomposition for explaining ML performance discrepancies NIPS 2024
DistrictNet: Decision-aware learning for geographical districting NIPS 2024
Neural Krylov Iteration for Accelerating Linear System Solving NIPS 2024
Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation NIPS 2024
Sequential Harmful Shift Detection Without Labels NIPS 2024
Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios NIPS 2024
Foundation Inference Models for Markov Jump Processes NIPS 2024
Sequoia: Scalable and Robust Speculative Decoding NIPS 2024
Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting NIPS 2024
Regularized Q-Learning NIPS 2024
Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport NIPS 2024
$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$ NIPS 2024
Block Sparse Bayesian Learning: A Diversified Scheme NIPS 2024
Improved learning rates in multi-unit uniform price auctions NIPS 2024
Ultrafast classical phylogenetic method beats large protein language models on variant effect prediction NIPS 2024
DiffusionPDE: Generative PDE-Solving under Partial Observation NIPS 2024
Online Posterior Sampling with a Diffusion Prior NIPS 2024
Transductive Learning is Compact NIPS 2024
Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization NIPS 2024