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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)

Data-driven learning of symbolic constraints for a log-linear model in a phonological setting COLING 2016
Textual Entailment with Structured Attentions and Composition COLING 2016
Incremental Global Event Extraction COLING 2016
Hybrid Question Answering over Knowledge Base and Free Text COLING 2016
Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations COLING 2016
Integrating Distributional and Lexical Information for Semantic Classification of Words using MRMF COLING 2016
Neural Paraphrase Generation with Stacked Residual LSTM Networks COLING 2016
Fast Inference for Interactive Models of Text COLING 2016
Better call Saul: Flexible Programming for Learning and Inference in NLP COLING 2016
Fast Collocation-Based Bayesian HMM Word Alignment COLING 2016
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation COLING 2016
Measuring the Information Content of Financial News COLING 2016
Corpus Fusion for Emotion Classification COLING 2016
A Novel Fast Framework for Topic Labeling Based on Similarity-preserved Hashing COLING 2016
TextImager: a Distributed UIMA-based System for NLP COLING 2016
Open Problem: Best Arm Identification: Almost Instance-Wise Optimality and the Gap Entropy Conjecture COLT 2016
Open Problem: Kernel methods on manifolds and metric spaces. What is the probability of a positive definite geodesic exponential kernel? COLT 2016
Open Problem: Second order regret bounds based on scaling time COLT 2016
Open Problem: Property Elicitation and Elicitation Complexity COLT 2016
Open Problem: Parameter-Free and Scale-Free Online Algorithms COLT 2016
An efficient algorithm for contextual bandits with knapsacks, and an extension to concave objectives COLT 2016
Learning and Testing Junta Distributions COLT 2016
Sign rank versus VC dimension COLT 2016
Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes COLT 2016
An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits COLT 2016