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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
Deconfounded Representation Similarity for Comparison of Neural Networks
NIPS 2022
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift
NIPS 2022
Theoretically Provable Spiking Neural Networks
NIPS 2022
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective
NIPS 2022
Concentration of Data Encoding in Parameterized Quantum Circuits
NIPS 2022
Beyond neural scaling laws: beating power law scaling via data pruning
NIPS 2022
Surprising Instabilities in Training Deep Networks and a Theoretical Analysis
NIPS 2022
Benign Underfitting of Stochastic Gradient Descent
NIPS 2022
Redundant representations help generalization in wide neural networks
NIPS 2022
Pay attention to your loss : understanding misconceptions about Lipschitz neural networks
NIPS 2022
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
NIPS 2022
End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking
NIPS 2022
Biologically plausible solutions for spiking networks with efficient coding
NIPS 2022
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes
NIPS 2022
Neuron with Steady Response Leads to Better Generalization
NIPS 2022
An Analytical Theory of Curriculum Learning in Teacher-Student Networks
NIPS 2022
Fixed-Distance Hamiltonian Monte Carlo
NIPS 2022
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
NIPS 2022
Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities
NIPS 2022
Target alignment in truncated kernel ridge regression
NIPS 2022
A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks
NIPS 2022
Convergence for score-based generative modeling with polynomial complexity
NIPS 2022
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
NIPS 2022
When to Update Your Model: Constrained Model-based Reinforcement Learning
NIPS 2022
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
NIPS 2022
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