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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)

FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions CVPR 2024 Fine-tuning after Prompting: an Explainable Way for Classification ACL 2024 Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together EMNLP 2024 Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation EMNLP 2024 Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression ICLR 2024 Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits JMLR 2024 Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning ICLR 2024 Finite-Time Analysis of Three-Timescale Constrained Actor-Critic and Constrained Natural Actor-Critic Algorithms. UAI 2024 Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning L4DC 2024 Finite-Time Convergence Rates of Decentralized Local Markovian Stochastic Approximation IJCAI 2024 Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs AAAI 2024 Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation ICML 2024 Finsler-Laplace-Beltrami Operators with Application to Shape Analysis CVPR 2024 FIRE: A Dataset for Financial Relation Extraction NAACL 2024 First-Order Methods for Linearly Constrained Bilevel Optimization NeurIPS 2024 First-Order Minimax Bilevel Optimization NeurIPS 2024 First Passage Percolation with Queried Hints AISTATS 2024 First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models NAACL 2024 Fisher Flow Matching for Generative Modeling over Discrete Data NeurIPS 2024 Fisher information dissipation for time-inhomogeneous stochastic differential equations JMLR 2024 Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Diffusions COLT 2024 Fitting Flats to Flats CVPR 2024 Fixed-Budget Differentially Private Best Arm Identification ICLR 2024 Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit AISTATS 2024 Fixed Confidence Best Arm Identification in the Bayesian Setting NeurIPS 2024