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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
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation
NIPS 2022
Approximation with CNNs in Sobolev Space: with Applications to Classification
NIPS 2022
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
NIPS 2022
Bellman Residual Orthogonalization for Offline Reinforcement Learning
NIPS 2022
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits
NIPS 2022
Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel
NIPS 2022
Reinforcement Learning with Non-Exponential Discounting
NIPS 2022
Dynamic Fair Division with Partial Information
NIPS 2022
"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
NIPS 2022
Uncalibrated Models Can Improve Human-AI Collaboration
NIPS 2022
Oracle-Efficient Online Learning for Smoothed Adversaries
NIPS 2022
Your Transformer May Not be as Powerful as You Expect
NIPS 2022
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
NIPS 2022
Optimal Rates for Regularized Conditional Mean Embedding Learning
NIPS 2022
Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression
NIPS 2022
The alignment property of SGD noise and how it helps select flat minima: A stability analysis
NIPS 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
NIPS 2022
On Infinite Separations Between Simple and Optimal Mechanisms
NIPS 2022
The computational and learning benefits of Daleian neural networks
NIPS 2022
Chaotic Dynamics are Intrinsic to Neural Network Training with SGD
NIPS 2022
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture
NIPS 2022
On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane
NIPS 2022
Size and depth of monotone neural networks: interpolation and approximation
NIPS 2022
Latent Hierarchical Causal Structure Discovery with Rank Constraints
NIPS 2022
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers
NIPS 2022
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