| 301. | Reinforcement Learning via an Optimization Lens | 50 | |
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| 302. | Locally Testable Codes with Constant Rate, Distance, and Locality | 50 | |
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| 303. | Large Language Models as a Cultural Technology | 50 | Vlog |
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| 304. | Meaning in the age of large language models | 50 | |
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| 305. | Coding for Modern Distributed Storage Systems I | 50 | |
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| 306. | Foundations for a Democratic Metaverse | 50 | |
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| 307. | Differential Privacy | 49 | |
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| 308. | Reinforcement Learning | 49 | |
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| 309. | Geodesic Convexity and Optimization | 49 | |
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| 310. | PLONK: Permutations over Lagrange-Bases for Oecumenical Noninteractive arguments of Knowledge | 49 | |
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| 311. | Summer Cluster in Quantum Computation | Polylogues | 49 | Vlog |
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| 312. | Quantum Simulation | Quantum Colloquium | 49 | |
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| 313. | An Evolutionary Model of Economic Behavior, Bounded Rationality, and Intelligence | 49 | |
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| 314. | Interpretability - now what? | 49 | |
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| 315. | Making Blockchains more Useful for Business | 49 | |
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| 316. | Deep “Internal” Learning - Deep Learning with Zero Examples | 49 | |
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| 317. | Dynamic Pricing in Ridesharing Platforms | 48 | |
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| 318. | Invariance, Causality and Novel Robustness | 48 | |
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| 319. | Algorithms for Single Cell RNAseq Analysis | 48 | |
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| 320. | Answer Set Programming in a Nutshell | 48 | |
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| 321. | Tractable Probabilistic Circuits | 48 | |
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| 322. | Every Optimization Problem Is a Quadratic Program:... | 48 | |
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| 323. | Foundations of Computing: Scott Aaronson | Polylogues | 48 | |
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| 324. | The Mathematical Essence of Aging | Theoretically Speaking | 48 | |
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| 325. | What is Your Data Worth? Equitable Data Valuation in Machine Learning | 48 | |
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| 326. | Logic and Quantum Information I | 47 | Vlog |
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| 327. | Randomness in Number Theory | 47 | |
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| 328. | Einstein's Equations Starting from Qubits | 47 | |
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| 329. | Many-body Physics and Complexity I | 47 | |
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| 330. | (Hidden) Symmetries of Computational Problems | 47 | |
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| 331. | Modern Coding Theory — Many Ideas, One Goal | 46 | |
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| 332. | Game Theory Applied to Mining Pools, Token Offering, Dao, and Consensus Protocols | 46 | |
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| 333. | Computational Barriers in Statistical Estimation and Learning | 46 | |
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| 334. | Orthogonal Machine Learning: Power and Limitations | 46 | |
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| 335. | Making Predictions in a Quantum World | Quantum Colloquium | 46 | |
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| 336. | Approximation Algorithms for Stochastic Optimization I | 46 | |
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| 337. | Optimal Data-Dependent Hashing for Nearest Neighbor Search | 46 | |
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| 338. | Streaming, Sketching and Sufficient Statistics I | 46 | |
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| 339. | A General Introduction to Quantum Tomography -- and a Specialized Report on Property Testing... | 46 | |
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| 340. | Debiasing Random Forests For Treatment Effect Estimation | 46 | |
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| 341. | Obfuscation I | 46 | |
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| 342. | Randomized Embeddings and Neural Networks | 46 | |
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| 343. | SAT-Solving | 46 | |
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| 344. | Deep Generative Models And Unsupervised Methods For Inverse Problems | 45 | |
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| 345. | Understanding the Robustness of Deep Learning | 45 | |
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| 346. | Towards Practical Quantum Advantage | Quantum Colloquium | 45 | |
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| 347. | Tensor Decompositions for Learning Latent Variable Models I | 45 | |
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| 348. | Dynamic Graph Algorithms: What We Know and What We Don’t | Richard M. Karp Distinguished Lecture | 45 | |
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| 349. | Beyond Worst-Case Analysis I | 45 | |
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| 350. | Fundamental Limit of Community Detection in Stochastic Block Models | 44 | |
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| 351. | Feedback Control Theory: Architectures and Tools for Real-Time Decision Making II | 44 | |
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| 352. | Predicting Many Properties of a Quantum System from Very Few Measurements | 44 | |
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| 353. | Economics and Learning | 44 | |
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| 354. | The Effectiveness of Convex Programming in the Information and Physical Sciences | 44 | |
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| 355. | Sub-Linear Time Algorithms: Fast, Cheap and (Only a Little) Out of Control | 44 | |
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| 356. | Understanding the Origins and Taxonomy of Neural Scaling Laws | 44 | |
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| 357. | Planning and Markov Decision Processes (Part 2) | 44 | |
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| 358. | From the Inside: Economics and Computation | 44 | |
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| 359. | What is the Statistical Complexity of Reinforcement Learning? | 44 | |
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| 360. | Computation in Very Wide Neural Networks | 44 | |
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| 361. | The Dawn of Computational Complexity Theory | 44 | |
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| 362. | Bitcoin's Incentive Structure | 44 | |
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| 363. | Reactive Synthesis | 44 | |
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| 364. | Dynamic Neural Network Structures Through Stochastic Rewiring | 44 | |
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| 365. | Stochastic Optimization for Big Data Machine Learning Problems | 43 | |
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| 366. | Remarks on the Discrete Cube | 43 | |
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| 367. | The Statistical Complexity of Interactive Decision Making | 43 | |
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| 368. | Randomized Iterative Methods and Complexity for Markov Decision Process | 43 | |
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| 369. | Randomized Numerical Linear Algebra: Overview | 43 | |
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| 370. | Quantum Supremacy and its Applications | 43 | |
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| 371. | Integrating Language into Intelligent Architectures | 43 | |
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| 372. | Foundations of Computing: Donald Knuth | Polylogues | 42 | Vlog |
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| 373. | Neural Mechanisms of Vision | 42 | |
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| 374. | Cal Day Lecture: Can a Machine be Conscious? Towards a Conscious AI | 42 | |
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| 375. | Planning and Markov Decision Processes Part 1 (reupload) | 42 | |
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| 376. | Geometry, Optimization and Generalization in Multilayer Networks | 42 | |
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| 377. | Online Learning in MDPs (Part 1) | 42 | |
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| 378. | Quantum Computing and Simulation with Atoms | 42 | |
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| 379. | A Polynomial-Time Classical Algorithm for Noisy Random Circuit Sampling | 42 | |
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| 380. | Data is as Data Does: The Influence of Computation on Inference | 214 | |
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| 381. | Online Learning and Bandits (Part 2) | 42 | |
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| 382. | Interpretability via Symbolic Distillation | 42 | |
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| 383. | What We Can Learn from AdNauseam about the Threat and Power of Data Obfuscation | 42 | |
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| 384. | Recent Algorithmic Primitives: Linear Combination of Unitaries and Quantum Signal Processing | 42 | |
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| 385. | Batch (Offline) RL (Part 1) | 42 | |
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| 386. | Discussion: Offline Reinforcement Learning | 42 | Discussion |
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| 387. | A Few Challenge Problems from Robotics | 41 | |
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| 388. | Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance) | 41 | |
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| 389. | Panel Discussion on Quantum Algorithms for Optimization | Quantum Colloquium | 41 | Discussion |
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| 390. | Towards Understanding Transfer Learning with Applications to Medical Imaging | 41 | |
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| 391. | Quantum Supremacy Using a Programmable Superconducting Processor II | 41 | |
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| 392. | Overview of Elliptic Curve Isogenies Based Public Key Cryptography Assumptions | 41 | |
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| 393. | Fitness Landscapes and Adaptive Evolution | 41 | |
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| 394. | Spectral Graph Theory II: Expanders and Eigenvalues | 41 | |
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| 395. | The Short Integer Solutions Problem and Cryptographic Applications | 41 | |
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| 396. | Fully Understanding The Hashing Trick | 40 | |
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| 397. | Control Fundamentals | 40 | |
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| 398. | Computer Vision after the Victory of Data | 40 | |
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| 399. | Benign Overfitting in Linear Prediction | 40 | |
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| 400. | Spotlight Talk: How to Escape Saddle Points Efficiently | 40 | |
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