Skip to content
conftrace_

Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Forming Probably Stable Communities with Limited Interactions AAAI 2019 Forward Amortized Inference for Likelihood-Free Variational Marginalization AISTATS 2019 Forward-Backward Decoding for Regularizing End-to-End TTS Interspeech 2019 Forward-Backward Generative Adversarial Networks for Anomaly Detection ACML 2019 Forward-Backward Selection with Early Dropping JMLR 2019 Foundations of Sequence-to-Sequence Modeling for Time Series AISTATS 2019 Frame-Consistent Recurrent Video Deraining With Dual-Level Flow CVPR 2019 FreeFlow: Software-based Virtual RDMA Networking for Containerized Clouds NSDI 2019 Free VQA Models from Knowledge Inertia by Pairwise Inconformity Learning AAAI 2019 From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization NeurIPS 2019 From Cost-Sensitive Classification to Tight F-measure Bounds AISTATS 2019 From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference ICLR 2019 From Horn-SRIQ to Datalog: A Data-Independent Transformation That Preserves Assertion Entailment AAAI 2019 f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition AAAI 2019 Fully Distributed Bayesian Optimization with Stochastic Policies IJCAI 2019 Functional Isolation Forest ACML 2019 Functional Transparency for Structured Data: a Game-Theoretic Approach ICML 2019 FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS ICLR 2019 Function-Space Distributions over Kernels NeurIPS 2019 Function Space Particle Optimization for Bayesian Neural Networks ICLR 2019 Gain estimation of linear dynamical systems using Thompson Sampling AISTATS 2019 Game Design for Eliciting Distinguishable Behavior NeurIPS 2019 Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function ICML 2019 GANAK: A Scalable Probabilistic Exact Model Counter IJCAI 2019 GASC: Genre-Aware Semantic Change for Ancient Greek ACL 2019