Saved in:
| Main Authors: | Chen, Can, Wang, Jun-Kun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.07774 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting
by: Chen, Can, et al.
Published: (2024)
by: Chen, Can, et al.
Published: (2024)
Multi-Armed Sequential Hypothesis Testing by Betting
by: Sandoval, Ricardo J., et al.
Published: (2026)
by: Sandoval, Ricardo J., et al.
Published: (2026)
Semi-Supervised Hypothesis Testing by Betting on Predictions
by: Tenzer, Yaniv, et al.
Published: (2026)
by: Tenzer, Yaniv, et al.
Published: (2026)
STaR-Bets: Sequential Target-Recalculating Bets for Tighter Confidence Intervals
by: Voráček, Václav, et al.
Published: (2025)
by: Voráček, Václav, et al.
Published: (2025)
A Trust-Region Interior-Point Stochastic Sequential Quadratic Programming Method
by: Fang, Yuchen, et al.
Published: (2026)
by: Fang, Yuchen, et al.
Published: (2026)
I Bet You Did Not Mean That: Testing Semantic Importance via Betting
by: Teneggi, Jacopo, et al.
Published: (2024)
by: Teneggi, Jacopo, et al.
Published: (2024)
The Query/Hit Model for Sequential Hypothesis Testing
by: Shariatnasab, Mahshad, et al.
Published: (2025)
by: Shariatnasab, Mahshad, et al.
Published: (2025)
Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL
by: Luo, Qin-Wen, et al.
Published: (2024)
by: Luo, Qin-Wen, et al.
Published: (2024)
E-valuator: Reliable Agent Verifiers with Sequential Hypothesis Testing
by: Sadhuka, Shuvom, et al.
Published: (2025)
by: Sadhuka, Shuvom, et al.
Published: (2025)
Diffusion-Based Hypothesis Testing and Change-Point Detection
by: Moushegian, Sean, et al.
Published: (2025)
by: Moushegian, Sean, et al.
Published: (2025)
Strategic Hypothesis Testing
by: Hossain, Safwan, et al.
Published: (2025)
by: Hossain, Safwan, et al.
Published: (2025)
On Cost-Aware Sequential Hypothesis Testing with Random Costs and Action Cancellation
by: Vershinin, George, et al.
Published: (2025)
by: Vershinin, George, et al.
Published: (2025)
Detecting Compromised IoT Devices Using Autoencoders with Sequential Hypothesis Testing
by: Mainuddin, Md, et al.
Published: (2024)
by: Mainuddin, Md, et al.
Published: (2024)
Learning to Bet for Horizon-Aware Anytime-Valid Testing
by: Taga, Ege Onur, et al.
Published: (2026)
by: Taga, Ege Onur, et al.
Published: (2026)
Generalized Optimistic Methods for Convex-Concave Saddle Point Problems
by: Jiang, Ruichen, et al.
Published: (2022)
by: Jiang, Ruichen, et al.
Published: (2022)
The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing
by: Shen, Cencheng, et al.
Published: (2018)
by: Shen, Cencheng, et al.
Published: (2018)
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
by: Daskalakis, Constantinos, et al.
Published: (2018)
by: Daskalakis, Constantinos, et al.
Published: (2018)
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
by: Cho, Brian, et al.
Published: (2024)
by: Cho, Brian, et al.
Published: (2024)
Revisiting Active Sequential Prediction-Powered Mean Estimation
by: Sfyraki, Maria-Eleni, et al.
Published: (2026)
by: Sfyraki, Maria-Eleni, et al.
Published: (2026)
Hypothesis Testing the Circuit Hypothesis in LLMs
by: Shi, Claudia, et al.
Published: (2024)
by: Shi, Claudia, et al.
Published: (2024)
Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning
by: Moulin, Antoine, et al.
Published: (2025)
by: Moulin, Antoine, et al.
Published: (2025)
Dual Interior Point Optimization Learning
by: Klamkin, Michael, et al.
Published: (2024)
by: Klamkin, Michael, et al.
Published: (2024)
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
by: Jiang, Ruichen, et al.
Published: (2024)
by: Jiang, Ruichen, et al.
Published: (2024)
Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling
by: Kook, Yunbum, et al.
Published: (2023)
by: Kook, Yunbum, et al.
Published: (2023)
Optimistic Information Directed Sampling
by: Neu, Gergely, et al.
Published: (2024)
by: Neu, Gergely, et al.
Published: (2024)
TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks
by: Yao, Jianzhu, et al.
Published: (2025)
by: Yao, Jianzhu, et al.
Published: (2025)
Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs
by: Zhong, Han, et al.
Published: (2021)
by: Zhong, Han, et al.
Published: (2021)
Second-Order Bounds for [0,1]-Valued Regression via Betting Loss
by: Li, Yinan, et al.
Published: (2025)
by: Li, Yinan, et al.
Published: (2025)
Adaptive Conformal Inference by Betting
by: Podkopaev, Aleksandr, et al.
Published: (2024)
by: Podkopaev, Aleksandr, et al.
Published: (2024)
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
by: Bar, Yarin, et al.
Published: (2024)
by: Bar, Yarin, et al.
Published: (2024)
Optimistic Policy Regularization
by: Pham, Mai, et al.
Published: (2026)
by: Pham, Mai, et al.
Published: (2026)
Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise
by: Ramirez, Juan, et al.
Published: (2025)
by: Ramirez, Juan, et al.
Published: (2025)
Sparse Optimistic Information Directed Sampling
by: Schwartz, Ludovic, et al.
Published: (2025)
by: Schwartz, Ludovic, et al.
Published: (2025)
Hypothesis Testing in Imaging Inverse Problems
by: Xi, Yiming, et al.
Published: (2025)
by: Xi, Yiming, et al.
Published: (2025)
Optimistic Rates for Learning from Label Proportions
by: Li, Gene, et al.
Published: (2024)
by: Li, Gene, et al.
Published: (2024)
Omega: Optimistic EMA Gradients
by: Ramirez, Juan, et al.
Published: (2023)
by: Ramirez, Juan, et al.
Published: (2023)
Sequential Weakly Labeled Multi-Activity Localization and Recognition on Wearable Sensors using Recurrent Attention Networks
by: Wang, Kun, et al.
Published: (2020)
by: Wang, Kun, et al.
Published: (2020)
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization
by: Zhai, Yuanzhao, et al.
Published: (2024)
by: Zhai, Yuanzhao, et al.
Published: (2024)
Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference
by: Chen, Qianyi, et al.
Published: (2026)
by: Chen, Qianyi, et al.
Published: (2026)
From Betting to Empirical Bernstein LIL
by: Orabona, Francesco
Published: (2026)
by: Orabona, Francesco
Published: (2026)
Similar Items
-
Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting
by: Chen, Can, et al.
Published: (2024) -
Multi-Armed Sequential Hypothesis Testing by Betting
by: Sandoval, Ricardo J., et al.
Published: (2026) -
Semi-Supervised Hypothesis Testing by Betting on Predictions
by: Tenzer, Yaniv, et al.
Published: (2026) -
STaR-Bets: Sequential Target-Recalculating Bets for Tighter Confidence Intervals
by: Voráček, Václav, et al.
Published: (2025) -
A Trust-Region Interior-Point Stochastic Sequential Quadratic Programming Method
by: Fang, Yuchen, et al.
Published: (2026)