Internal Program Activities Breadcrumb Home Programs & Events Internal Program Activities Upcoming Past View Events by Program - All - View Events by Program No Internal Activities yet. View Events by Program - All -Quantum Research PodModern Paradigms in GeneralizationSublinear AlgorithmsError-Correcting Codes: Theory and PracticeLogic and Algorithms in Database Theory and AIData Structures and Optimization for Fast AlgorithmsAnalysis and TCS: New FrontiersSummer Cluster on Quantum ComputingMeta-ComplexityExtended Reunion: SatisfiabilityData-Driven Decision ProcessesGraph Limits and Processes on Networks: From Epidemics to MisinformationSummer Cluster: AI and HumanitySummer Cluster: Interpretable Machine LearningComputational Innovation and Data-Driven BiologySummer Cluster: Deep Learning TheoryCausalityLearning and GamesGeometric Methods in Optimization and SamplingComputational Complexity of Statistical InferenceTheoretical Foundations of Computer SystemsSatisfiability: Theory, Practice, and BeyondTheory of Reinforcement LearningProbability, Geometry, and Computation in High DimensionsLattices: Algorithms, Complexity, and CryptographyThe Quantum Wave in ComputingProofs, Consensus, and Decentralizing SocietyOnline and Matching-Based Market DesignSummer Cluster: Error-Correcting Codes and High-Dimensional ExpansionFoundations of Deep LearningData Privacy: Foundations and ApplicationsGeometry of PolynomialsFoundations of Data ScienceLower Bounds in Computational ComplexityThe Brain and ComputationReal-Time Decision MakingBridging Continuous and Discrete OptimizationFoundations of Machine LearningPseudorandomnessLogical Structures in ComputationAlgorithms and UncertaintyAlgorithmic Challenges in GenomicsCounting Complexity and Phase TransitionsFine-Grained Complexity and Algorithm DesignEconomics and ComputationCryptographyInformation TheoryAlgorithmic Spectral Graph TheoryAlgorithms and Complexity in Algebraic GeometryEvolutionary Biology and the Theory of ComputingQuantum Hamiltonian ComplexityReal Analysis in Computer ScienceTheoretical Foundations of Big Data Analysis View Events by Program Simons Fellows Seminar Series: Learning & Decision-Making in Societal Systems: Theory, Algorithms, and Design Simons Fellows Seminar Series: Learning & Decision-Making in Societal Systems: Theory, Algorithms, and Design Learning and Games Eric Mazumdar (Caltech) Learning and Games Special Reading Group Talk: Robust and Adaptive Online Decision Making Learning and Games Special Reading Group Talk: Robust and Adaptive Online Decision Making Learning and Games Chen-yu Wei (University of Southern California) Learning & Games Reading Group: Equilibrium Computation and Machine Learning Learning & Games Reading Group: Equilibrium Computation and Machine Learning Learning and Games Vidya Muthukumar (Georgia Institute of Technology), Ioannis Panageas (UC Irvine) Causality Program Visitor Speaker Series: A General Metric of Dynamical Similarity: Overview of the Dynamical Symmetry Approach to Causal Discovery Causality Program Visitor Speaker Series: A General Metric of Dynamical Similarity: Overview of the Dynamical Symmetry Approach to Causal Discovery Causality Benjamin Jantzen (Virginia Tech) Causal Learning Applications Reading Group Causal Learning Applications Reading Group Causality Statistical Theory of Causal Estimation Working Group Statistical Theory of Causal Estimation Working Group Causality Angela Zhou (University of Southern California), Rahul Singh (MIT), Patrick Burauel (Caltech) Learning & Games Visitor Speaker Series: Higher-Order Learning in Games and Feedback Control Learning & Games Visitor Speaker Series: Higher-Order Learning in Games and Feedback Control Learning and Games Jeff Shamma (University of Illinois at Urbana-Champaign) Learning & Games Reading Group: Learning in the Presence of Strategic Behavior Learning & Games Reading Group: Learning in the Presence of Strategic Behavior Learning and Games Ellen Vitercik Simons Fellows Seminar Series: Minimax-Optimal Policy Learning and Evaluation under Unobserved Confounding Simons Fellows Seminar Series: Minimax-Optimal Policy Learning and Evaluation under Unobserved Confounding Learning and Games Angela Zhou (Simons Institute) Berkeley Statistics Applications Reading Group Berkeley Statistics Applications Reading Group Causality Arman Sabbaghi Pagination First page First Previous page Previous Page 48 Page 49 Current page 50 Page 51 Page 52 Next page Next Last page Last
