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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Theory
4,950 papers
Papers per year
2000: 1
2001: 2
2002: 3
2003: 3
2004: 9
2005: 4
2006: 32
2007: 25
2008: 31
2009: 25
2010: 37
2011: 37
2012: 45
2013: 76
2014: 66
2015: 72
2016: 102
2017: 156
2018: 246
2019: 353
2020: 447
2021: 567
2022: 646
2023: 741
2024: 670
2025: 426
2026: 128
Papers
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
JMLR 2023
Hierarchical Kernels in Deep Kernel Learning
JMLR 2023
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs
L4DC 2023
Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control?
L4DC 2023
Modified Policy Iteration for Exponential Cost Risk Sensitive MDPs
L4DC 2023
Automated Reachability Analysis of Neural Network-Controlled Systems via Adaptive Polytopes
L4DC 2023
A finite-sample analysis of multi-step temporal difference estimates
L4DC 2023
Transportation-Inequalities, Lyapunov Stability and Sampling for Dynamical Systems on Continuous State Space
L4DC 2023
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks
L4DC 2023
Online Estimation of the Koopman Operator Using Fourier Features
L4DC 2023
DLKoopman: A deep learning software package for Koopman theory
L4DC 2023
Benchmarking Rigid Body Contact Models
L4DC 2023
E(3) x SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI
MIDL 2023
Calibration techniques for node classification using graph neural networks on medical image data
MIDL 2023
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations
MLHC 2023
Test Coverage for Network Configurations
NSDI 2023
Relational Debugging --- Pinpointing Root Causes of Performance Problems
OSDI 2023
Verifying vMVCC, a high-performance transaction library using multi-version concurrency control
OSDI 2023
Enabling Team of Teams: A Trust Inference and Propagation (TIP) Model in Multi-Human Multi-Robot Teams
RSS 2023
Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions
RSS 2023
Neural tangent kernel at initialization: linear width suffices
UAI 2023
Studying the Effect of GNN Spatial Convolutions On The Embedding Space’s Geometry
UAI 2023
On the role of model uncertainties in Bayesian optimisation
UAI 2023
Probabilistically robust conformal prediction
UAI 2023
Interpretable differencing of machine learning models
UAI 2023
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