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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Should Robots be Obedient? IJCAI 2017
Unsatisfiable Core Shrinking for Anytime Answer Set Optimization IJCAI 2017
A Verified SAT Solver Framework with Learn, Forget, Restart, and Incrementality IJCAI 2017
Open-World Probabilistic Databases: An Abridged Report IJCAI 2017
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling IJCAI 2017
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study IJCAI 2017
Blockedness in Propositional Logic: Are You Satisfied With Your Neighborhood? IJCAI 2017
On Thompson Sampling and Asymptotic Optimality IJCAI 2017
Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization IJCAI 2017
Coherent Predictive Inference under Exchangeability with Imprecise Probabilities (Extended Abstract) IJCAI 2017
New Canonical Representations by Augmenting OBDDs with Conjunctive Decomposition (Extended Abstract) IJCAI 2017
CCEHC: An Efficient Local Search Algorithm for Weighted Partial Maximum Satisfiability (Extended Abstract) IJCAI 2017
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract) IJCAI 2017
POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations (Extended Abstract) IJCAI 2017
Learning from Data Heterogeneity: Algorithms and Applications IJCAI 2017
Reinforcement mechanism design IJCAI 2017
Improving Group Decision-Making by Artificial Intelligence IJCAI 2017
Securing and scaling cryptocurrencies IJCAI 2017
Online Algorithm Selection IJCAI 2017
Constructive Recommendation IJCAI 2017
Probabilistic Inference in Hybrid Domains IJCAI 2017
Nonparametric Online Machine Learning with Kernels IJCAI 2017
The Role of Textualisation and Argumentation in Understanding the Machine Learning Process IJCAI 2017
Searching for Well-Behaved Fragments of Halpern-Shoham Logic IJCAI 2017
MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting IJCNLP 2017