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← Optimization & Theory
Machine Learning
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Optimization & Theory
›
Learning Theory
5,312 papers
Papers per year
2001: 1
2002: 16
2003: 16
2004: 15
2005: 17
2006: 30
2007: 32
2008: 32
2009: 34
2010: 66
2011: 76
2012: 74
2013: 94
2014: 115
2015: 123
2016: 128
2017: 185
2018: 219
2019: 390
2020: 466
2021: 640
2022: 664
2023: 799
2024: 688
2025: 307
2026: 85
Papers
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
NIPS 2022
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
NIPS 2022
Adaptive Oracle-Efficient Online Learning
NIPS 2022
Generalization Error Bounds on Deep Learning with Markov Datasets
NIPS 2022
Generalization for multiclass classification with overparameterized linear models
NIPS 2022
Generalization Properties of NAS under Activation and Skip Connection Search
NIPS 2022
A Characterization of Semi-Supervised Adversarially Robust PAC Learnability
NIPS 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
NIPS 2022
Understanding the Eluder Dimension
NIPS 2022
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits
NIPS 2022
SQ Lower Bounds for Learning Single Neurons with Massart Noise
NIPS 2022
Active Learning Polynomial Threshold Functions
NIPS 2022
Finite Sample Analysis Of Dynamic Regression Parameter Learning
NIPS 2022
Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs
NIPS 2022
Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning
NIPS 2022
Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality
NIPS 2022
Learning and Covering Sums of Independent Random Variables with Unbounded Support
NIPS 2022
Online PAC-Bayes Learning
NIPS 2022
A Closer Look at Prototype Classifier for Few-shot Image Classification
NIPS 2022
Distinguishing Learning Rules with Brain Machine Interfaces
NIPS 2022
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width
NIPS 2022
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning
NIPS 2022
On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model
NIPS 2022
IMED-RL: Regret optimal learning of ergodic Markov decision processes
NIPS 2022
Does Momentum Change the Implicit Regularization on Separable Data?
NIPS 2022
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