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Workshop
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Sat 12:00
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Statistically Valid Information Bottleneck via Multiple Hypothesis Testing
Amirmohammad Farzaneh · Osvaldo Simeone
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Workshop
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Sat 15:45
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Estimating and Correcting for Misclassification Error in Empirical Textual Research
Jonathan Choi
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Workshop
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Sat 12:00
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A STEP TOWARDS MIXTURE OF GRADER: STATISTICAL ANALYSIS OF EXISTING AUTOMATIC EVALUATION METRICS
Yun Joon Soh · Jishen Zhao
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Workshop
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Sat 12:00
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Distribution-based sensitivity analysis for large language models
Paulius Rauba · Qiyao Wei · Mihaela van der Schaar
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Workshop
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Sat 15:45
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Auto-Evaluation with Few Labels through Post-hoc Regression
Benjamin Eyre · David Madras
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Workshop
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Sat 15:45
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Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks
Rachel Longjohn · Giri Gopalan · Emily Casleton
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Workshop
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Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder
Likun Zhang · Christopher Wikle · Kiran Bhaganagar
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Poster
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Wed 11:00
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Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity
Philip Amortila · Dylan J Foster · Nan Jiang · Akshay Krishnamurthy · Zak Mhammedi
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Workshop
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Sun 11:20
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The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
Ezra Edelman · Nikolaos Tsilivis · Surbhi Goel · Benjamin Edelman · Eran Malach
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Poster
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Thu 11:00
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Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
Fan Chen · Dylan J Foster · Yanjun Han · Jian Qian · Alexander Rakhlin · Yunbei Xu
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Affinity Event
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Determining Treatment Disparities across Multiple Healthcare Datasets via Statistical Analysis
Purity Mugambi · Joohyun Chung · Rae Walker · Michael Sherman · Stephanie Carreiro · Madalina Fiterau
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