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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

On Differentially Private U Statistics NIPS 2024
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information NIPS 2024
Why Do We Need Weight Decay in Modern Deep Learning? NIPS 2024
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization NIPS 2024
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms NIPS 2024
Neuro-Symbolic Data Generation for Math Reasoning NIPS 2024
Consistency Diffusion Bridge Models NIPS 2024
Dense Associative Memory Through the Lens of Random Features NIPS 2024
Identifying Equivalent Training Dynamics NIPS 2024
Ensemble sampling for linear bandits: small ensembles suffice NIPS 2024
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems NIPS 2024
If You Want to Be Robust, Be Wary of Initialization NIPS 2024
Is Score Matching Suitable for Estimating Point Processes? NIPS 2024
Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions NIPS 2024
The Implicit Bias of Adam on Separable Data NIPS 2024
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion NIPS 2024
MiSO: Optimizing brain stimulation to create neural population activity states NIPS 2024
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content NIPS 2024
Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification NIPS 2024
PAC-Bayes-Chernoff bounds for unbounded losses NIPS 2024
SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization NIPS 2024
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training NIPS 2024
Grammar-Aligned Decoding NIPS 2024
Controlled maximal variability along with reliable performance in recurrent neural networks NIPS 2024
Global Rewards in Restless Multi-Armed Bandits NIPS 2024