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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)

Zhenmei at WASSA-2024 Empathy and Personality Shared Track 2 Incorporating Pearson Correlation Coefficient as a Regularization Term for Enhanced Empathy and Emotion Prediction in Conversational Turns ACL 2024 Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference NeurIPS 2024 ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization AAAI 2024 z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning AAAI 2024 (ε, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits COLT 2024 H-Consistency Bounds: Characterization and Extensions NeurIPS 2023 H-Consistency Bounds for Pairwise Misranking Loss Surrogates ICML 2023 L_2-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting NeurIPS 2023 Λ-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells ICLR 2023 $\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks ICLR 2023 $O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games ICLR 2023 p-Poisson surface reconstruction in curl-free flow from point clouds NeurIPS 2023 p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison NeurIPS 2023 A^2CiD^2: Accelerating Asynchronous Communication in Decentralized Deep Learning NeurIPS 2023 ε-fractional core stability in Hedonic Games. NeurIPS 2023 $α$-MDF: An Attention-based Multimodal Differentiable Filter for Robot State Estimation CoRL 2023 2Direction: Theoretically Faster Distributed Training with Bidirectional Communication Compression NeurIPS 2023 3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention CVPR 2023 3D Shape Reconstruction of Semi-Transparent Worms CVPR 2023 A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance ICCV 2023 A 5-Point Minimal Solver for Event Camera Relative Motion Estimation ICCV 2023 AAAI New Faculty Highlights: General and Scalable Optimization for Robust AI AAAI 2023 A Bayesian approach for bandit online optimization with switching cost UAI 2023 A Bayesian Approach To Analysing Training Data Attribution In Deep Learning NeurIPS 2023 A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling CoRL 2023