| 1. | An observation on Generalization | 145 | |
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| 2. | The Asteroid Terrestrial-impact Last Alert System (ATLAS) | 67 | |
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| 3. | Black Holes and the Quantum-Extended Church-Turing Thesis | Quantum Colloquium | 54 | |
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| 4. | The Arrow of Time in Causal Networks | 53 | |
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| 5. | WIT: Women in Theory (of Computer Science) — I Will Survive! | 41 | |
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| 6. | Classical Verification of Quantum Computations | 38 | |
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| 7. | Building Human Intelligence at Scale, to Save the Next Generation from ChatGPT | 36 | |
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| 8. | Algorand: The Truly Distributed Ledger | 34 | |
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| 9. | Sperm Whale Communication: What we know so far/ Understanding Whale Communication: First steps | 33 | |
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| 10. | Artificial Stupidity: The New AI and the Future of Fintech | 33 | |
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| 11. | Panel Discussion | 28 | Discussion |
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| 12. | A Tutorial on Reinforcement Learning I | 26 | |
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| 13. | Ultraproducts as a Bridge Between Discrete and Continuous Analysis | 26 | |
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| 14. | Nonparametric Bayesian Methods: Models, Algorithms, and Applications I | 24 | |
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| 15. | Cryptography: From Mathematical Magic to Secure Communication | 24 | |
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| 16. | Why Only Us: Language and Evolution | 24 | |
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| 17. | Algorithmic Trading and Machine Learning | 22 | |
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| 18. | Quantum Algorithms for Hamiltonian Simulation | Quantum Colloquium | 20 | |
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| 19. | Does the Neocortex Use Grid Cell-Like Mechanisms to Learn the Structure of Objects? | 20 | |
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| 20. | Variational Inference: Foundations and Innovations | 19 | |
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| 21. | Algorand's Forthcoming Blockchain Technology | 18 | |
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| 22. | Fully Homomorphic Encryption | 17 | |
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| 23. | The Unreasonable Effectiveness of Spectral Graph Theory: A Confluence of Algorithms, Geometry & ... | 16 | |
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| 24. | Perception as Inference: The Brain and Computation | Theory Shorts | 16 | |
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| 25. | Spacetime, Entropy, and Quantum Information | 16 | |
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| 26. | Nonparametric Bayesian Methods: Models, Algorithms, and Applications II | 14 | |
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| 27. | Pairings in Cryptography | 14 | |
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| 28. | Quantum Simulation | Quantum Colloquium | 14 | |
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| 29. | Polar Codes I | 14 | |
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| 30. | A Theory for Emergence of Complex Skills in Language Models | 14 | |
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| 31. | Will Vanishing Gradients Ever Vanish from Deep Learning? | 14 | |
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| 32. | Bitcoin Regulation in Israel | 14 | |
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| 33. | Dreamcoder: Bootstrapping Inductive Program Synthesis With Wake-Sleep Library Learning | 13 | |
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| 34. | Quantum Algorithms for Optimization | Quantum Colloquium | 13 | |
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| 35. | Representations for Language: From Word Embeddings to Sentence Meanings | 12 | |
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| 36. | The Mathematics of Lattices I | 12 | |
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| 37. | Practical Applications of Homomorphic Encryption | 12 | |
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| 38. | Black Holes, Firewalls, and the Limits of Quantum Computers | 12 | |
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| 39. | The Information Bottleneck Theory of Deep Neural Networks... | 12 | |
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| 40. | Braid Groups, Hecke Algebras, Representations, and Anyons | 11 | |
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| 41. | Until the Sun Engulfs the Earth: Lower Bounds in Computational Complexity | Theory Shorts | 11 | |
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| 42. | Submodularity: Theory and Applications I | 11 | |
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| 43. | A Tale of Turing Machines, Quantum-Entangled Particles, and Operator Algebras | 10 | |
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| 44. | Spectral Graph Theory I: Introduction to Spectral Graph Theory | 10 | |
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| 45. | Generalization and Equilibrium in Generative Adversarial Nets (GANs) | 10 | |
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| 46. | Nonparametric Bayesian Methods: Models, Algorithms, and Applications III | 10 | |
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| 47. | Predictive Coding Models of Perception | 10 | |
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| 48. | Mini Crash Course: Tensor Networks | 10 | |
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| 49. | A New Perspective on Adversarial Perturbations | 9 | |
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| 50. | Query Optimization and Evaluation 1: Output Size Bounds and Information Theory | 9 | |
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| 51. | Natural Language Understanding: Foundations and State-of-the-Art | 9 | |
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| 52. | Mathematics of Lattices | 9 | |
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| 53. | Flexible Neural Networks and the Frontiers of Meta-Learning | 9 | |
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| 54. | An Automated Approach to the Collatz Conjecture | 9 | |
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| 55. | Computational Challenges and the Future of ML Panel | 9 | |
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| 56. | Optimization I | 8 | |
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| 57. | Does Computational Complexity Restrict Artificial Intelligence (AI) and Machine Learning? | 8 | |
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| 58. | Meaning in the age of large language models | 8 | |
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| 59. | The Prefrontal Cortex as a Meta-Reinforcement Learning System | 8 | |
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| 60. | Introduction to Biological Network Analysis II: Protein-Protein Interaction Networks: From Graphs to | 8 | |
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| 61. | An Integrated Cognitive Architecture | 8 | |
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| 62. | Beyond Computation: The P versus NP question (panel discussion) | 8 | Discussion |
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| 63. | Natasha 2: Faster Non-convex Optimization Than SGD | 8 | |
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| 64. | SAT-Solving | 8 | |
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| 65. | Are Aligned Language Models “Adversarially Aligned”? | 7 | |
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| 66. | Watermarking of Large Language Models | 7 | |
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| 67. | Learning to Predict Arbitrary Quantum Processes | 7 | |
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| 68. | Sparks of Artificial General Intelligence | 7 | |
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| 69. | A Variational Inequality Framework for Network Games: Existence, Uniqueness, ... | 7 | |
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| 70. | Tutorial on Deep Learning I | 7 | |
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| 71. | Mathematics of the COVID-19 Pandemics: Lessons Learned and How to Mitigate the Next One | 7 | Guide |
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| 72. | The Entropy Decrement Method and the Erdos Discrepancy Problem | 7 | |
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| 73. | Mini Crash Course: Quantum Error Correction | 7 | |
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| 74. | How Quantum is D-Wave? | 7 | |
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| 75. | Networks of Spiking Neurons Learn to Learn and Remember | 7 | |
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| 76. | Foundations for a Democratic Metaverse | 7 | |
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| 77. | Interactive Proofs (Part II) | 7 | |
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| 78. | Independent Component Analysis: From Theory to Practice and Back | 7 | |
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| 79. | Using Lattices for Cryptanalysis | 6 | |
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| 80. | V-Learning: Simple, Efficient, Decentralized Algorithm for Multiagent RL | 6 | |
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| 81. | Deterministic Approximation of the Ising Partition Function | 6 | |
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| 82. | Real-Time Convex Optimization | 6 | |
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| 83. | Reinforcement Learning: Hidden Theory and New Super-Fast Algorithms | 6 | |
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| 84. | Sketching Big Data | 6 | |
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| 85. | Polar Codes II | 6 | |
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| 86. | Why are Many-Body Problems in Physics so Difficult? | 6 | |
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| 87. | Introduction to Cancer Bioinformatics I: Inferring Genomic Variation from Tumor Sequencing Data | 6 | |
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| 88. | "Fine-Tuned", "Unfaithful", "Unnatural": Abuse of Terminology in Causal Modeling | 5 | Vlog |
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| 89. | Training on the Test Set and Other Heresies | 5 | |
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| 90. | Deep Reinforcement Learning | 5 | |
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| 91. | Gradient Descent: The Mother of All Algorithms? | 5 | |
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| 92. | The Mathematics of Causal Inference, with Reflections on Machine Learning and the Logic of Science | 5 | |
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| 93. | Optimal Power Flow: Relaxation, Online Algorithm, Fast Dynamics | 5 | |
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| 94. | On How Machine Learning and Auction Theory Power Facebook Advertising | 5 | |
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| 95. | In-Context Learning: A Case Study of Simple Function Classes | 5 | |
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| 96. | The Contextual Bandits Problem | 5 | |
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| 97. | A Proof of Bell’s Inequality in Quantum Mechanics Using Causal Interactions | 5 | |
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| 98. | An Instability in Variational Methods for Learning Topic Models | 5 | |
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| 99. | Unsupervised Representation Learning | 5 | |
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| 100. | Error error error correcting correcting correcting codes codes codes | 5 | |
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