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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
Asymptotic Properties for Bayesian Neural Network in Besov Space
NIPS 2022
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions
NIPS 2022
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
NIPS 2022
Adversarial Robustness is at Odds with Lazy Training
NIPS 2022
Exact learning dynamics of deep linear networks with prior knowledge
NIPS 2022
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions
NIPS 2022
Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity
NIPS 2022
Supervised Training of Conditional Monge Maps
NIPS 2022
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics
NIPS 2022
Multi-layer State Evolution Under Random Convolutional Design
NIPS 2022
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
NIPS 2022
Spectral Bias in Practice: The Role of Function Frequency in Generalization
NIPS 2022
Non-Convex Bilevel Games with Critical Point Selection Maps
NIPS 2022
Zonotope Domains for Lagrangian Neural Network Verification
NIPS 2022
Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs
NIPS 2022
Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting
NIPS 2022
The Sample Complexity of One-Hidden-Layer Neural Networks
NIPS 2022
Phase Transition from Clean Training to Adversarial Training
NIPS 2022
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
NIPS 2022
Composition Theorems for Interactive Differential Privacy
NIPS 2022
On Margins and Generalisation for Voting Classifiers
NIPS 2022
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
NIPS 2022
Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability
NIPS 2022
Learning Tractable Probabilistic Models from Inconsistent Local Estimates
NIPS 2022
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior
NIPS 2022
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