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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)

Open Problem: Do you pay for Privacy in Online learning? COLT 2022 Open Problem: Finite-Time Instance Dependent Optimality for Stochastic Online Learning with Feedback Graphs COLT 2022 Open Problem: Optimal Best Arm Identification with Fixed-Budget COLT 2022 Open Problem: Properly learning decision trees in polynomial time? COLT 2022 Open Problem: Regret Bounds for Noise-Free Kernel-Based Bandits COLT 2022 Open Problem: Running time complexity of accelerated ℓ_1-regularized PageRank COLT 2022 Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization AutoML 2022 Operator-Potential Heuristics for Symbolic Search AAAI 2022 Operator Splitting Value Iteration NeurIPS 2022 OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression L4DC 2022 Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction AAAI 2022 Optimal Algorithms for Decentralized Stochastic Variational Inequalities NeurIPS 2022 Optimal Algorithms for Mean Estimation under Local Differential Privacy ICML 2022 Optimal Algorithms for Stochastic Multi-Level Compositional Optimization ICML 2022 Optimal and Adaptive Monteiro-Svaiter Acceleration NeurIPS 2022 Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits ICML 2022 Optimal and instance-dependent guarantees for Markovian linear stochastic approximation COLT 2022 Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks ICLR 2022 Optimal Binary Classification Beyond Accuracy NeurIPS 2022 Optimal channel selection with discrete QCQP AISTATS 2022 Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training ICML 2022 Optimal Clustering with Noisy Queries via Multi-Armed Bandit ICML 2022 Optimal Comparator Adaptive Online Learning with Switching Cost NeurIPS 2022 Optimal Control with Learning on the Fly: System with Unknown Drift L4DC 2022 Optimal Correction Cost for Object Detection Evaluation CVPR 2022