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Optimization
341 directly classified papers
Papers per year
2006: 1
2009: 2
2010: 4
2011: 4
2012: 2
2013: 6
2014: 10
2015: 6
2016: 8
2017: 11
2018: 21
2019: 36
2020: 32
2021: 36
2022: 34
2023: 42
2024: 52
2025: 34
Papers
DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction)
AAAI 2024
Centroid-Based Efficient Minimum Bayes Risk Decoding
ACL 2024
Sample-and-Bound for Non-convex Optimization
AAAI 2024
Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems
NIPS 2024
Investigation into Training Dynamics of Learned Optimizers (Student Abstract)
AAAI 2024
InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization
CVPR 2024
Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations
AAAI 2024
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models
CVPR 2024
Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem
AAAI 2024
Offline and Online Optical Flow Enhancement for Deep Video Compression
AAAI 2024
Materials Discovery using Max K-Armed Bandit
JMLR 2024
Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models
NIPS 2024
LPZero: Language Model Zero-cost Proxy Search from Zero
EMNLP 2024
A Thorough Examination of Decoding Methods in the Era of LLMs
EMNLP 2024
A Training Data Recipe to Accelerate A* Search with Language Models
EMNLP 2024
Dual-Phase Accelerated Prompt Optimization
EMNLP 2024
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees
AAAI 2024
Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs
AAAI 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints
AISTATS 2024
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization
EMNLP 2024
Word Alignment as Preference for Machine Translation
EMNLP 2024
Hop, skip, jump to Convergence: Dynamics of Learning Rate Transitions for Improved Training of Large Language Models
EMNLP 2024
Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving
AAAI 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
AAAI 2024
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD
NIPS 2024
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