Smoothness

Momentum

3 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Jul 6Week of Sep 21

Latest papers 27

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  1. Optimal Stochastic Bilevel Optimization with First-Order Oracles

    Oct 1, 2026Linxuan Pan, Junchi YangBilevel OptimizationFirst Order Oracle Complexity

  2. Lower Bounds for Stochastic First-Order Algorithms with Variance Reduction in Nonconvex--Concave Minimax Optimization

    Oct 1, 2026Jiayi Song, Zi XuConvex OptimizationLower Bounds

  3. Convergence Analysis of STORM Under Different Geometries

    Oct 1, 2026Wei Jiang, Yibo Wang, Wenhao Yang +3Stochastic Convex OptimizationConvex Optimization

  4. Adam under Generalized Smoothness with Second-Moment-Type Stochastic Gradients

    Sep 29, 2026Ruinan Jin, Difei Cheng, Ling Chen +3SmoothnessAdam

  5. FAHCD-Net: Frequency-Adaptive Heatmap-Conditional Diffusion Networks for Robust Facial Landmark Detection

    Sep 15, 2026Jun Wan, Jiwei Hu, Shengkai Hu +1One-Shot Medical Landmark DetectionBlind Face Restoration

  6. Projection-Free Multi-level Algorithms for Stochastic Constrained Compositional Optimization

    Sep 14, 2026Wei Jiang, Sifan Yang, Wenhao Yang +4Convex OptimizationStochastic Optimization

  7. What is Smoothness?

    Sep 3, 2026Zachary P BradshawSmoothnessFinite Groups

  8. Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks

    Aug 10, 2026Binchuan QiGradient DescentSmoothness

  9. XMix: Combating Extremely Noisy Labels via Local Smoothness in Self-Supervised Feature Space

    Jul 26, 2026Chengqi Li, Yangdi Lu, Zhihao Shi +3Noisy LabelsSemi-Supervised Learning

  10. What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity

    Jul 16, 2026Kumar Kshitij Patel, Rustem Islamov, Sebastian U Stich +3SmoothnessStochastic Gradient Descent

  11. A Function-Space Dichotomy for Compositional Learning: Exponential Sub-Optimality of the Neural Tangent Kernel

    Jul 7, 2026Arkaprabha Ganguli, Emil ConstantinescuNeural Tangent KernelRectified Linear Unit Networks

  12. Graph Dimensionality Reduction for Contextual Bandits: Structure-Specific Regret Bounds under Approximate Smoothness and Noisy Eigenspaces

    Jun 26, 2026Joyanta Jyoti Mondal, Ibne Farabi Shihab, Anuj SharmaContextual Bandit FrameworkDimensionality Reduction

  13. Improved Guarantees for Langevin Monte Carlo with Average Smoothness

    May 29, 2026Arnak S. Dalalyan, Avetik KaragulyanLangevin DynamicsLog-Concave Distributions

  14. Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks

    May 29, 2026Yunfei Yang, Jun FanLogarithmic Sobolev InequalitiesRectified Linear Unit Networks

  15. Convergence of Steepest Descent and Adam under Non-Uniform Smoothness

    May 28, 2026Sharan Vaswani, Yifan Sun, Reza BabanezhadGradient DescentSmoothness

  16. Beyond Bounded Variance: Variance-Reduced Normalized Methods for Nonconvex Optimization under Blum-Gladyshev Noise

    May 14, 2026Antesh Upadhyay, Arda Fazla, Abolfazl HashemiStochastic Convex OptimizationStochastic Gradient Descent

  17. Fitting Is Not Enough: Smoothness in Extremely Quantized LLMs

    May 9, 2026Yuzhuang Xu, Xu Han, Yuxuan Li +2Large Language Model QuantizationSmoothness

  18. Temporal Smoothness Doubly Robust Learning for Debiased Knowledge Tracing

    May 7, 2026Peilin Zhan, Wei Chen, Weilin Chen +2LearnabilitySelection Bias

  19. Universal Smoothness via Bernstein Polynomials: A Constructive Approximation Approach for Activation Functions

    May 4, 2026Wentao Zhang, Yutong Zhang, Yifan Zhu +1Activation FunctionsSmoothness

  20. Black-box optimization of noisy functions with unknown smoothness

    May 4, 2026Jean-Bastien Grill, Michal Valko, Rémi MunosBlack-Box OptimizationSmoothness

  21. KANs need curvature: penalties for compositional smoothness

    May 4, 2026James BagrowKolmogorov-Arnold NetworksActivation Functions

  22. Stochastic simultaneous optimistic optimization

    Apr 27, 2026Michal Valko, Alexandra Carpentier, Rémi MunosSmoothnessMaximization

  23. Exploring Sparsity and Smoothness of Arbitrary Lp Norms in Adversarial Attacks

    Feb 6, 2026Christof Duhme, Florian Eilers, Xiaoyi JiangSpectral NormSmoothness

  24. An Elementary Proof of the Near Optimality of LogSumExp Smoothing

    Dec 11, 2025Thabo Samakhoana, Benjamin GrimmerMaximizationSmoothness

  25. Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos

    Dec 1, 2025Xavier Thomas, Youngsun Lim, Ananya Srinivasan +2Human Motion GenerationHuman Motion

  26. Better Convergence Guarantees for Sign-Based Momentum Methods

    Jul 16, 2025Wei Jiang, Dingzhi Yu, Sifan Yang +3Momentum Stochastic Gradient DescentConvergence