Competition is the key: A Game Theoretic Causal Discovery Approach
Amartya Roy, Souvik Chakraborty
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#GameTheory #CausalDiscovery #MachineLearningResearch
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#MachineLearningResearch
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DeepWideSearch: Benchmarking Depth and Width in Agentic Information
Seeking
Bin Zhu, Haijun Li et al.
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#AgenticInformationSeeking #DeepWideSearchBenchmark #MachineLearningResearch
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A Derandomization Framework for Structure Discovery: Applications in
Neural Networks and Beyond
Christos Tzamos, Ioannis Mitliagkas et al.
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#DerandomizationFramework #NeuralNetworkStructure #MachineLearningResearch
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REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale
Recommendation Systems
Haibo Xing, Hao Deng et al.
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#REG4Rec #RecommendationSystems #MachineLearningResearch
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Exploring Scaling Laws of CTR Model for Online Performance Improvement
Beihong Jin, Jia Cheng et al.
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#CTRModelScaling #OnlinePerformanceImprovement #MachineLearningResearch
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A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative
Model via a System of Stochastic Differential Equations
Chuan Wu, Junwei Su
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#GraphGenerativeModels #StochasticDifferentialEquations #MachineLearningResearch
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Neural Logic Networks for Interpretable Classification
Alain Hertz, Katsumi Inoue et al.
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#NeuralLogicNetworks #InterpretableClassification #MachineLearningResearch
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Progressive Depth Up-scaling via Optimal Transport
Mingzi Cao, Nikolaos Aletras et al.
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#ProgressiveDepthUpscaling #OptimalTransportAI #MachineLearningResearch
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REINA: Regularized Entropy Information-Based Loss for Efficient
Simultaneous Speech Translation
Joseph Liu, Mahesh Kumar Nandwana et al.
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#REINA #SpeechTranslation #MachineLearningResearch
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Learning to Imitate with Less: Efficient Individual Behavior Modeling in
Chess
Ashton Anderson, Difan Jiao et al.
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#EfficientBehaviorModeling #ChessAI #MachineLearningResearch
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Relation-Aware Slicing in Cross-Domain Alignment
Anish Chakrabarty, Aprameyo Chakrabartty et al.
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#RelationAwareSlicing #CrossDomainAlignment #MachineLearningResearch
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WorldVLA: Towards Autoregressive Action World Model
Chaohui Yu, Deli Zhao et al.
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#WorldVLA #AutoregressiveActionModel #MachineLearningResearch
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Principled Approaches for Extending Neural Architectures to Function
Spaces for Operator Learning
Anima Anandkumar, Boris Bonev et al.
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#NeuralArchitectures #OperatorLearning #MachineLearningResearch
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Tensor-to-Tensor Models with Fast Iterated Sum Features
Joscha Diehl, Leonard Schmitz et al.
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#TensorFlowModels #FastIteratedSumFeatures #MachineLearningResearch
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