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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
How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents
NIPS 2022
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
NIPS 2022
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
NIPS 2022
On Computing Probabilistic Explanations for Decision Trees
NIPS 2022
Para-CFlows: $C^k$-universal diffeomorphism approximators as superior neural surrogates
NIPS 2022
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification
NIPS 2022
Learning with convolution and pooling operations in kernel methods
NIPS 2022
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications
NIPS 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
NIPS 2022
FourierFormer: Transformer Meets Generalized Fourier Integral Theorem
NIPS 2022
Practical Adversarial Multivalid Conformal Prediction
NIPS 2022
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
NIPS 2022
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network
NIPS 2022
A Theoretical View on Sparsely Activated Networks
NIPS 2022
Effects of Data Geometry in Early Deep Learning
NIPS 2022
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime
NIPS 2022
Trade-off between Payoff and Model Rewards in Shapley-Fair Collaborative Machine Learning
NIPS 2022
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity
NIPS 2022
On Optimal Learning Under Targeted Data Poisoning
NIPS 2022
Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective
NIPS 2022
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent
NIPS 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition
NIPS 2022
Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise
NIPS 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries
NIPS 2022
Nearly-Tight Bounds for Testing Histogram Distributions
NIPS 2022
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