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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games ICML 2020 Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation L4DC 2020 Finite Versus Infinite Neural Networks: an Empirical Study NeurIPS 2020 Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks NeurIPS 2020 FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression ACML 2020 First-Order Bayesian Regret Analysis of Thompson Sampling ALT 2020 First Order Constrained Optimization in Policy Space NeurIPS 2020 Fixed-confidence guarantees for Bayesian best-arm identification AISTATS 2020 Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation EMNLP 2020 Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning AAAI 2020 Fixed-Point Back-Propagation Training CVPR 2020 Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm NeurIPS 2020 Flexible Approximate Inference via Stratified Normalizing Flows UAI 2020 Flexible distribution-free conditional predictive bands using density estimators AISTATS 2020 Flexible mean field variational inference using mixtures of non-overlapping exponential families NeurIPS 2020 Flexible Prior Elicitation via the Prior Predictive Distribution UAI 2020 Flexible retrieval with NMSLIB and FlexNeuART EMNLP 2020 FleXOR: Trainable Fractional Quantization NeurIPS 2020 Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training EMNLP 2020 FNNC: Achieving Fairness through Neural Networks IJCAI 2020 FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation CVPR 2020 Focal Loss for Punctuation Prediction Interspeech 2020 Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games NeurIPS 2020 Foolproof Cooperative Learning ACML 2020 ForceReader: a BERT-based Interactive Machine Reading Comprehension Model with Attention Separation COLING 2020