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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
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Papers (including subtopics)

Perception of English Fricatives and Affricates by Advanced Chinese Learners of English Interspeech 2020 Perception of Privacy Measured in the Crowd — Paired Comparison on the Effect of Background Noises Interspeech 2020 Performant TCP for Low-Power Wireless Networks NSDI 2020 Performative Prediction ICML 2020 Periodic Q-Learning L4DC 2020 Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning JMLR 2020 Pessimism About Unknown Unknowns Inspires Conservatism COLT 2020 Phase retrieval in high dimensions: Statistical and computational phase transitions NeurIPS 2020 Phase Transitions for the Information Bottleneck in Representation Learning ICLR 2020 Phonetic Entrainment in Cooperative Dialogues: A Case of Russian Interspeech 2020 Photon: A Robust Cross-Domain Text-to-SQL System ACL 2020 Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics ICLR 2020 Picking BERT’s Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis COLING 2020 Picking Winning Tickets Before Training by Preserving Gradient Flow ICLR 2020 Piecewise linear activations substantially shape the loss surfaces of neural networks ICLR 2020 PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications OSDI 2020 Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning ICLR 2020 Pitfalls of Learning a Reward Function Online IJCAI 2020 Pivot-based Maximal Biclique Enumeration IJCAI 2020 Planning from Images with Deep Latent Gaussian Process Dynamics L4DC 2020 Planning in Markov Decision Processes with Gap-Dependent Sample Complexity NeurIPS 2020 Planning with General Objective Functions: Going Beyond Total Rewards NeurIPS 2020 Plan-Space Explanation via Plan-Property Dependencies: Faster Algorithms & More Powerful Properties IJCAI 2020 Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP ICLR 2020 PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss Interspeech 2020