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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
Model Shapley: Equitable Model Valuation with Black-box Access
NIPS 2023
Scaling MLPs: A Tale of Inductive Bias
NIPS 2023
TRAK: Attributing Model Behavior at Scale
ICML 2023
Universality laws for Gaussian mixtures in generalized linear models
NIPS 2023
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters
ICML 2023
Tighter Analysis for ProxSkip
ICML 2023
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data
ICML 2023
Approximating Full Conformal Prediction at Scale via Influence Functions
AAAI 2023
On the inconsistency of separable losses for structured prediction
EACL 2023
We Need to Talk About Reproducibility in NLP Model Comparison
EMNLP 2023
Sequential Changepoint Detection via Backward Confidence Sequences
ICML 2023
Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View
ICCV 2023
Tight Data Access Bounds for Private Top-$k$ Selection
ICML 2023
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds
NIPS 2023
When Locally Linear Embedding Hits Boundary
JMLR 2023
Analyzing Diffusion as Serial Reproduction
ICML 2023
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
NIPS 2023
From Shapley Values to Generalized Additive Models and back
AISTATS 2023
On Translations between ML Models for XAI Purposes
IJCAI 2023
Structured Prediction with Stronger Consistency Guarantees
NIPS 2023
The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem
IJCAI 2023
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium
IJCAI 2023
On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation
AISTATS 2023
Are Transformers Effective for Time Series Forecasting?
AAAI 2023
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective
ICML 2023
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