sHAIL-Causal: A Sequential Staircase Procedure for Invariant Causal Predictor Discovery
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Learning Decision-Stump Thresholds in Context: Dynamics of Softmax Attention
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Towards a Unified Misuse Monitoring Benchmark
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A Query Is Not a Commitment: Learning to Correct Expert Answers in Online Deferral
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Evaluating Inference Compute for Generative AI: A Framework for Enterprise Workloads
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AMBER: Training Long-Horizon Web Agents through Append-Only Memory
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A Single-Loop, Constant-Batch First-Order Penalty Method for Stochastic Bilevel Optimization
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Is this machine playing?
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Advantage of Entangled Learning Rules in Quantum Measurement Class Learning
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Interleaved Projected Gradient Descent for Safe Imitation Learning
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Learning Disentangled Representations with Quantum Variational Autoencoders
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Evaluating Behavioral Context for Interpretable IAM Policy Risk Scoring in Cloud Environments
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