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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
›
Optimization
14207 directly classified papers
Papers per year
2001: 10
2002: 9
2003: 16
2004: 6
2005: 16
2006: 58
2007: 67
2008: 72
2009: 84
2010: 106
2011: 132
2012: 164
2013: 333
2014: 295
2015: 310
2016: 380
2017: 509
2018: 669
2019: 1072
2020: 1217
2021: 1489
2022: 1470
2023: 1746
2024: 1819
2025: 1567
2026: 591
Papers
A statistical perspective on algorithm unrolling models for inverse problems
JMLR 2025
Rajomon: Decentralized and Coordinated Overload Control for Latency-Sensitive Microservices
NSDI 2025
Extending Temperature Scaling with Homogenizing Maps
JMLR 2025
Direct Prompt Optimization with Continuous Representations
ACL 2025
Fine-grained Video Dubbing Duration Alignment with Segment Supervised Preference Optimization
ACL 2025
Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement
WACV 2025
SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs
ACL 2025
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
ACL 2025
Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy
JMLR 2025
TaCOS: Task-Specific Camera Optimization with Simulation
WACV 2025
Unlocking ECMP Programmability for Precise Traffic Control
NSDI 2025
Making Serverless Pay-For-Use a Reality with Leopard
NSDI 2025
Finite Expression Method for Solving High-Dimensional Partial Differential Equations
JMLR 2025
On the Convergence of Projected Policy Gradient for Any Constant Step Sizes
JMLR 2025
Uncertainty-Aware Iterative Preference Optimization for Enhanced LLM Reasoning
ACL 2025
SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads
NSDI 2025
Mutant: Learning Congestion Control from Existing Protocols via Online Reinforcement Learning
NSDI 2025
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models
ACL 2025
Precise Integral in NeRFs: Overcoming the Approximation Errors of Numerical Quadrature
WACV 2025
Learning Production-Optimized Congestion Control Selection for Alibaba Cloud CDN
NSDI 2025
Label Augmented Dataset Distillation
WACV 2025
Gradient Inversion Attack in Federated Learning: Exposing Text Data through Discrete Optimization
COLING 2025
Taming LLMs with Gradient Grouping
ACL 2025
Mirage: A Multi-Level Superoptimizer for Tensor Programs
OSDI 2025
Data Generation for Hardware-Friendly Post-Training Quantization
WACV 2025
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