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← Core Methods
Machine Learning
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Core Methods
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Optimization
1184 directly classified papers
Papers per year
2001: 2
2002: 1
2003: 1
2004: 2
2005: 3
2006: 12
2007: 12
2008: 20
2009: 10
2010: 15
2011: 15
2012: 36
2013: 76
2014: 59
2015: 48
2016: 45
2017: 58
2018: 61
2019: 72
2020: 82
2021: 95
2022: 111
2023: 101
2024: 144
2025: 100
2026: 3
Papers
Towards Multi-Mode Outlier Robust Tensor Ring Decomposition
AAAI 2024
Solving Attention Kernel Regression Problem via Pre-conditioner
AISTATS 2024
Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance
ACL 2024
Weighted Envy-Freeness for Submodular Valuations
AAAI 2024
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization
AAAI 2024
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
EMNLP 2024
Streamlining Conformal Information Retrieval via Score Refinement
EMNLP 2024
Sharpened Lazy Incremental Quasi-Newton Method
AISTATS 2024
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging
AAAI 2024
Optimizing Automatic Differentiation with Deep Reinforcement Learning
NIPS 2024
Learning-Augmented Dynamic Submodular Maximization
NIPS 2024
Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing
NIPS 2024
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits
NIPS 2024
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models
NIPS 2024
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
NIPS 2024
Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures
AAAI 2024
Submodular Minimax Optimization: Finding Effective Sets
AISTATS 2024
Molecular Optimization Model with Patentability Constraint
AAAI 2024
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms
NIPS 2024
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles
AISTATS 2024
Efficient LLM Scheduling by Learning to Rank
NIPS 2024
Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection
AAAI 2024
Symmetry-Informed Governing Equation Discovery
NIPS 2024
EM for Mixture of Linear Regression with Clustered Data
AISTATS 2024
Conformal Contextual Robust Optimization
AISTATS 2024
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