Worst-Case

Momentum

6 papers in the last four weeks, with none the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 36

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  1. Tight Transition Time Bounds for Separable Logistic Regression at the Edge of Stability

    Oct 1, 2026Haodong Wen, Kaiyue Wen, Jiaye TengLogistic RegressionOptimal Sample Complexity

  2. The Row Normalization Puzzle in Muon

    Sep 30, 2026Jiayu Zhang, Tianyi LinMuonNormalization

  3. Kolmogorov-Arnold Classifier Systems as Universal Approximators

    Sep 29, 2026Hiroki Shiraishi, Hisao Ishibuchi, Masaya NakataKolmogorov-Arnold NetworksClassifier

  4. Worst-Case Hidden-Vehicle Trajectory Search in Spatiotemporal Occlusion Regions

    Sep 17, 2026Ruichen Tan, Zengxiang Lei, Satish UkkusuriAutonomous DrivingRobust Trajectory

  5. Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables

    Sep 12, 2026Yasin Ibrahim, Hermione Warr, Robin J. Evans +1MinorityWorst-Case

  6. Kernel Methods for Refined Prophet Inequalities

    Aug 9, 2026Patrick Loiseau, Mathieu Molina, Vianney Perchet +2Concentration BoundsWorst-Case

  7. Stability of Ranking-dependent Pair-wise Comparison Patterns in the Analytic Hierarchy Process

    Aug 6, 2026Vitaliy Tsyganok, Sergii Kadenko, Oleh AndriichukComparisonWorst-Case

  8. Quality Control Algorithms for Pattern Counting

    Aug 4, 2026Cassandra Marcussen, Ronitt Rubinfeld, Madhu SudanO(\Bar{K}\Log N)$Worst-Case

  9. Learning from Local Walks on Dynamic Graphs with Bandit Feedback

    Jul 12, 2026Sourav Chakraborty, Amit Kiran Rege, Claire Monteleoni +1Stochastic Multi-Armed BanditsBandits

  10. How AI settled the complexity of the oldest SGD algorithm

    Jun 28, 2026Michał Dereziński, Xiaoyu DongStochastic Gradient DescentWorst-Case

  11. 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

  12. Exponentially many initializations to avoid barren plateaus

    Jun 16, 2026Ankit Kulshrestha, Ricard Puig, Diego García-Martín +4Worst-CaseConcentration Bounds

  13. The Program Is Still There: A Conservation Law for Program Discovery

    Jun 11, 2026Jorge Miguel SilvaSearch AlgorithmsWorst-Case

  14. Measuring Model Robustness via Fisher Information: Spectral Bounds, Theoretical Guarantees, and Practical Algorithms

    Jun 3, 2026Chong Zhang, Xiang Li, Jia Wang +2Robustness VerificationFisher Information Matrix

  15. Policy Gradient for Continuous-Time Robust Markov Decision Processes

    Jun 3, 2026Tanya Veeravalli, David M. Bossens, Atsushi NitandaMarkov Decision ProcessesPolicy Gradient

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

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

  17. On Language Generation in the Limit with Bounded Memory

    May 28, 2026Jon Kleinberg, Anay Mehrotra, Amin Saberi +1Bounded-MemoryLearnability

  18. Variance-Adaptive Optimal Algorithm for Reinforcement Learning with Multinomial Logit Function Approximation

    May 27, 2026Wonyoung Kim, Min-Hwan Oh, Garud Iyengar +1Markov Decision ProcessesOptimal Policies

  19. When Seekers Are Hard to Help: Evaluating Emotional Support Dialogue Systems in Worst-Case Interactions

    May 27, 2026Jiajie Yang, Yangchun Li, Guanyi Chen +3Emotional Support Conversation TaskUser Simulation

  20. Orthologic for SAT Solving

    May 14, 2026Vladislas de Haldat, Simon Guilloud, Viktor KunčakSatisfiabilityFirst Order Oracle Complexity

  21. Worst-Case Regret Bounds for Combinatorial Thompson Sampling in Sleeping Semi-Bandits

    May 10, 2026Zhiming Huang, Bingshan Hu, Jianping PanThompson SamplingStochastic Multi-Armed Bandits

  22. Instance-Adaptive Online Multicalibration

    May 10, 2026Zhiming Huang, Jamie Morgenstern, Aaron Roth +1Learning-Augmented AlgorithmsWorst-Case

  23. Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors

    May 8, 2026Nikita Dhawan, Daniel Shen, Leonardo Cotta +1Causal InferencesBayesian

  24. Lyapunov-Certified Direct Switching Theory for Q-Learning

    Apr 21, 2026Donghwan LeeQ-LearningLyapunov Function

  25. The Cost of Relaxation: Evaluating the Error in Convex Neural Network Verification

    Apr 20, 2026Merkouris Papamichail, Konstantinos Varsos, Giorgos Flouris +1Neural Network VerificationRectified Linear Unit Networks

  26. Learning Unanimously Acceptable Lotteries via Queries

    Apr 19, 2026Davin Choo, Paul W. Goldberg, Nicholas TehLotteriesMajority Voting

  27. Poly-attention: a general scheme for higher-order self-attention

    Feb 2, 2026Sayak Chakrabarti, Toniann Pitassi, Josh AlmanLinear AttentionTransformer Architectures

  28. GraphToxin: Reconstructing Full Unlearned Graphs from Graph Unlearning

    Nov 14, 2025Ying Song, Balaji PalanisamyMembership Inference AttacksUnlearnable Examples

  29. Are Targeted Data Poisoning Attacks as Effective as We Think?

    Sep 8, 2025William Xu, Chenyu Zhang, Yihan Wang +5PoisoningHard

  30. Random Walk Learning and the Pac-Man Attack

    Aug 1, 2025Xingran Chen, Parimal Parag, Rohit Bhagat +2Decentralized LearningBounded Adversary

  31. Estimating Uncertain Spatial Relationships in Robotics

    Mar 27, 2013Randall Smith, Matthew Self, Peter CheesemanState EstimationMap Uncertainty