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The Logical Options Framework
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The Power of Log-Sum-Exp Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
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The Lipschitz Constant of Self-Attention
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The Limits of Min-Max Optimization Algorithms Convergence to Spurious Non-Critical Sets
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The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks
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The Heavy-Tail Phenomenon in SGD
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The Impact of Record Linkage on Learning from Feature Partitioned Data
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The Hintons in your Neural Network a Quantum Field Theory View of Deep Learning
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The Earth Mover’s Pinball Loss Quantiles for Histogram-Valued Regression
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The Emergence of Individuality
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The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
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Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions
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Testing Group Fairness via Optimal Transport Projections
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TeraPipe Token-Level Pipeline Parallelism for Training Large-Scale Language Models
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Tesseract Tensorised Actors for Multi-Agent Reinforcement Learning
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Tensor Programs IV Feature Learning in Infinite-Width Neural Networks
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TempoRL Learning When to Act
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Tensor Programs IIb Architectural Universality Of Neural Tangent Kernel Training Dynamics
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