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← Optimization & Theory
Machine Learning
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Optimization & Theory
›
Optimization
14,207 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
Integrating Machine Learning and Optimization Methods for Imaging of Patients with Prostate Cancer
MLHC 2018
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks
MLHC 2018
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation
NAACL 2018
Training Structured Prediction Energy Networks with Indirect Supervision
NAACL 2018
Automatically Selecting the Best Dependency Annotation Design with Dynamic Oracles
NAACL 2018
Objective Function Learning to Match Human Judgements for Optimization-Based Summarization
NAACL 2018
Pruning Basic Elements for Better Automatic Evaluation of Summaries
NAACL 2018
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment
NAACL 2018
Japanese Predicate Conjugation for Neural Machine Translation
NAACL 2018
Discovering Phonesthemes with Sparse Regularization
NAACL 2018
Embedding Text in Hyperbolic Spaces
NAACL 2018
SnailTrail: Generalizing Critical Paths for Online Analysis of Distributed Dataflows
NSDI 2018
Stateless Datacenter Load-balancing with Beamer
NSDI 2018
G-NET: Effective GPU Sharing in NFV Systems
NSDI 2018
PCC Vivace: Online-Learning Congestion Control
NSDI 2018
LHD: Improving Cache Hit Rate by Maximizing Hit Density
NSDI 2018
NetComplete: Practical Network-Wide Configuration Synthesis with Autocompletion
NSDI 2018
µTune: Auto-Tuned Threading for OLDI Microservices
OSDI 2018
Deconstructing RDMA-enabled Distributed Transactions: Hybrid is Better!
OSDI 2018
Causal Structure Learning via Temporal Markov Networks
PGM 2018
An Order-based Algorithm for Learning Structure of Bayesian Networks
PGM 2018
An Empirical Study of Methods for SPN Learning and Inference
PGM 2018
Markov Random Field MAP as Set Partitioning
PGM 2018
Parallel Probabilistic Inference by Weighted Model Counting
PGM 2018
Solving M-Modes in Loopy Graphs Using Tree Decompositions
PGM 2018
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