Upper Bounds

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4 papers in the last four weeks, down 43% on the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 59

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  1. Finite-Data Safety Informativity Under Dynamic Asymmetric Actuation

    Oct 1, 2026Abhinav Sinha, Praveen Kumar Ranjan, Yongcan CaoProbabilistic SafetyFinite-Sample Certificates

  2. Nearly Minimax-Optimal Regret for Linear Contextual Bandits with Arbitrary Adaptive Action Sets

    Sep 14, 2026Tianyuan JinContextual Bandit FrameworkBandits

  3. Equilibria for Networks of Linear Translational Springs

    Sep 2, 2026Luke Oeding, Ethan Clayton, Jackson Elsea +2SplinesEquilibrium

  4. A Formal Limitation on Learning Human Language From Textual Corpora

    Aug 28, 2026Emily Cheng, Ryan CotterellLinguisticsNatural Language Processing

  5. The Sharp Tail of Uniform Stability

    Aug 25, 2026Pahan DewasurendraGeneralization BoundsUpper Bounds

  6. Sequence prediction under a lying oracle

    Aug 14, 2026Puspabeethi Samanta, Nikhil Karamchandani, Jayakrishnan NairSequence ModelingOracles

  7. On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective

    Aug 13, 2026Nestor R. Barraza, Gabriel PenaFundamental LimitsProbabilistic Inference

  8. Variational Bounds for Perceptron Learning from Structured Data

    Aug 5, 2026Francesco Camilli, Pierluigi Contucci, Federica Gerace +1Log-Concave DistributionsUpper Bounds

  9. Reachability in 3-VAS

    Aug 5, 2026Łukasz Kamiński, Sławomir LasotaReachabilityNp-Hard

  10. Mining Verdict Boundaries for Neural Network Verification

    Jul 31, 2026Jiawei Ren, Guanqin Zhang, Zhenya Zhang +1Neural Network VerificationUpper Bounds

  11. An analysis of binary isotonic regression: degrees of freedom and implications for calibration

    Jul 29, 2026Raphael Rossellini, Rina Foygel Barber, Zhimei Ren +1Finite-SampleUpper Bounds

  12. Tight Generalization Bound for AdaBoost

    Jul 29, 2026Mikael Møller HøgsgaardGeneralization BoundsEmpirical Risk Minimization

  13. Data-dependent Evaluations for Budgeted Submodular Maximization

    Jul 7, 2026Lejian Zhang, Xueyan Tang, Jing TangSubmodular FunctionsKnapsack Constraint

  14. AI-Assisted Discovery of Convex Relaxations via Dual Agents

    Jun 30, 2026Sungyoon Kim, Mert PilanciConvex RelaxationUpper Bounds

  15. Are Safety Guarantees in Neural Networks Safe? How to Compute Trustworthy Robustness Certifications

    Jun 22, 2026Merkouris Papamichail, Konstantinos Varsos, Giorgos Flouris +1Neural Network VerificationCertification

  16. Geometry-Aware Online Scheduling for LLM Serving: From Theoretical Bound to System Practice

    Jun 21, 2026Li Kong, Qi Qi, Yinyu Ye +1Large Language Model ServingSchedulers

  17. Rebuttals Move Peer-Review Scores, but Initial-Review Structure Bounds the Movement

    Jun 20, 2026Mathieu Louis, Tibo Vanleke, Vincent Ginis +1Peer ReviewReviewer

  18. Upper Bounds on the Generalization Error of Deep Learning Models via Local Robustness and Stability

    Jun 15, 2026Abdul-Rauf Nuhu, Parham M. Kebria, Vahid Hemmati +3Generalization BoundsUpper Bounds

  19. Comparison Patrols on Drifting Orders: Certified Rank Maintenance, Evolving Planar Maxima, and Selection under Drifting Fitness

    Jun 12, 2026Faruk Alpay, Levent SariogluUpper BoundsOrder

  20. Implicit Variational Rejection Sampling

    Jun 12, 2026Jian Xu, Shigui Li, Wei Chen +6Variational InferenceRejection Sampling

  21. Improved Runtime Bound for the (μ+1)(μ+ 1) EA on BinVal

    Jun 11, 2026Joris Belder, Johannes Lengler, Raghu Raman RaviUpper BoundsBits

  22. Reliable Error Estimation for PINNs: Lower and Upper A Posteriori Bounds

    Jun 10, 2026Ismail Huseynov, Arzu Ahmadova, Agamirza BashirovParametric Physics-Informed Neural NetworkUpper Bounds

  23. A Finite Certificate for the Positive n=9n=9 Vasc Inequality

    Jun 4, 2026Dakai Guo, Ruichen Qiu, Yichuan Cao +1Finite-Sample CertificatesCertificates

  24. Sharp First-Order Lower Bounds for Higher-Order Smooth Nonconvex Optimization

    Jun 3, 2026Dongruo ZhouStochastic Convex OptimizationFirst Order Oracle Complexity

  25. A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models

    May 30, 2026Kara Liu, Maggie Wang, Russ B. AltmanSelection BiasModel Selection

  26. Principled Algorithms for Optimizing Generalized Metrics in Multi-Label Learning

    May 27, 2026Mehryar Mohri, Yutao ZhongMulti-Label ClassificationEmpirical Risk Minimization

  27. TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models

    May 22, 2026Arseny Ivanov, Sergei Kholkin, Vladislav Gromadskii +3Diffusion Language ModelsDiffusion Models

  28. Verified SHAP: Provable Bounds for Exact Shapley Values of Neural Networks

    May 22, 2026David Boetius, Shahaf Bassan, Guy Katz +2Shapley ValueShapley Additive Explanations

  29. The Communication Complexity of Instant-Runoff Voting

    May 22, 2026Élie de Panafieu, François Durand, Jérôme LangMajority VotingMaximum Independent Set

  30. Gaussian Approximation and Multiplier Bootstrap for Federated Linear Stochastic Approximation

    May 19, 2026Ilya Levin, Maksim Shuklin, Eric Moulines +2Stochastic ApproximationModel-Based Bootstrap

  31. Learning Context-conditioned Gaussian Overbounds for Convolution-Based Uncertainty Propagation

    May 15, 2026Ruirui Liu, Xuejie Hou, Yiping Jiang +1Uncertainty QuantificationConfidence Intervals

  32. A Survey on Data-Dependent Worst-Case Generalization Bounds

    May 13, 2026Hubert Leroux, Jean Marcus, Julien RogerGeneralization BoundsOverparameterization

  33. Cost-Ordered Feasibility for Multi-Armed Bandits with Cost Subsidy

    May 8, 2026Ishank Juneja, Carlee Joe-Wong, Osman YağanStochastic Multi-Armed BanditsOptimal Regret

  34. Matroid Algorithms Under Size-Sensitive Independence Oracles

    Apr 30, 2026Kiarash Banihashem, MohammadTaghi Hajiaghayi, Mahdi JafariRaviz +1First Order Oracle ComplexityUpper Bounds

  35. Mind the Gap: Structure-Aware Consistency in Preference Learning

    Apr 30, 2026Mehryar Mohri, Yutao ZhongLarge Language Model AlignmentPreference Alignment Learning

  36. A Note on How to Remove the ln⁡ln⁡T\ln\ln T Term from the Squint Bound

    Apr 29, 2026Francesco OrabonaLogarithmic ScalingUpper Bounds

  37. Is Four Enough? Automated Reasoning Approaches and Dual Bounds for Condorcet Dimensions of Elections

    Apr 21, 2026Itai Zilberstein, Ratip Emin Berker, George Li +1ElectionsMajority Voting

  38. Beyond Indistinguishability: Measuring Extraction Risk in LLM APIs

    Apr 20, 2026Ruixuan Liu, David Evans, Li XiongExtractionIndistinguishability

  39. Uniform a priori bounds and error analysis for the Adam stochastic gradient descent optimization method

    Mar 19, 2026Steffen Dereich, Thang Do, Arnulf JentzenAdamStochastic Convex Optimization

  40. RL unknotter, hard unknots and unknotting number

    Mar 9, 2026Anne Dranowski, Yura Kabkov, Daniel TubbenhauerOffline Reinforcement LearningUpper Bounds

  41. Improved Upper Bounds for Slicing the Hypercube

    Feb 6, 2026Duncan Soiffer, Nathaniel Itty, Christopher D. Rosin +5SlicesUpper Bounds

  42. Improved Bounds for Private and Robust Alignment

    Dec 29, 2025Wenqian Weng, Yi He, Xingyu ZhouAdversarial CorruptionUpper Bounds

  43. Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds

    Jun 27, 2025Edward Chen, Sang T. Truong, Natalie Dullerud +2Pareto FrontierPreference Learning

  44. Breaking the T2/3T^{2/3} Barrier for Sequential Calibration

    Jun 19, 2024Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson +3Calibrated UncertaintyUpper Bounds

  45. The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication

    May 19, 2024Kumar Kshitij Patel, Margalit Glasgow, Ali Zindari +5Stochastic Gradient DescentHeterogeneity