301. | Representations for Language: From Word Embeddings to Sentence Meanings | 1:14:06 | |
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302. | Sampling Using Diffusion Processes, from Langevin to Schrödinger | 1:14:00 | |
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303. | Combining innate concepts with learning to perceive the world | 1:14:00 | |
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304. | Information Theory in Combinatorics I | 1:13:59 | Guide |
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305. | Quantum Algorithms for Hamiltonian Simulation | Quantum Colloquium | 1:13:58 | |
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306. | Polynomial Time Trace Reconstruction in the Smoothed Complexity Model | 1:13:58 | |
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307. | Recent Developments in Over-parametrized Neural Networks, Part II | 1:13:57 | |
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308. | Birds of a Feather Flock Together: How Homophily Leads to Segregation, Inequality, and... | 1:13:55 | |
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309. | Approximation Power | 1:13:54 | |
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310. | Predicting Many Properties of a Quantum System from Very Few Measurements | 1:13:53 | |
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311. | Tracing, Intercepting and Modeling Communication in the Brain | 1:13:51 | |
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312. | Quantum Rewinding Tutorial, Part 3: Zero Knowledge Simulation Beyond Watrous | 1:13:50 | Tutorial |
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313. | Statistical Inference and Privacy, Part III | 1:13:50 | |
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314. | Competitive Analysis Meets Stochastic Input: Secretary Problems And Prophet Inequalities | 1:13:45 | |
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315. | Candidate iO from Homomorphic Encryption Schemes | 1:13:43 | |
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316. | Polar Codes III | 1:13:43 | |
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317. | Quantum Algorithms for Optimization | Quantum Colloquium | 1:13:40 | |
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318. | TUTORIAL: Recent Development in Differential Privacy II | 1:13:38 | Tutorial |
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319. | Supernova Detection | 1:13:38 | |
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320. | Introduction to Practical FHE and the TFHE Scheme | 1:13:38 | |
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321. | Machine Learning For Algorithm Design | 1:13:35 | |
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322. | The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies | 1:13:34 | |
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323. | Decoding the Human Microbiome | 1:13:33 | |
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324. | Tutorial on Bosonic Codes | 1:13:29 | |
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325. | Computational Geometry of Cortical Networks: Manifold-Embedding Analysis of Multi-Site Recordings... | 1:13:28 | |
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326. | How Diffie-Hellman Fails in Practice | 1:13:20 | |
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327. | Online Learning in MDPs (Part 2) | 1:13:18 | |
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328. | Algorithms for Lattice Problems | 1:13:18 | |
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329. | Introduction to Regulatory Genomics and Epigenomics I: Intro to the Biology of Gene Regulation | 1:13:15 | |
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330. | Sketching High-Dimensional Data | 1:13:15 | |
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331. | Deep Learning in Structural Biology and Protein Design: How, Where, and Why | 1:13:15 | |
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332. | Quantum Algorithmic Measurements | Quantum Colloquium | 1:13:12 | |
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333. | Pseudorandom Generators IV | 1:13:12 | |
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334. | Computation in Networks of Neurons in the Brain II | 1:13:11 | |
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335. | Quantum Money based on Lattices | 1:13:10 | |
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336. | Cortical Areas Interact through a Communication Subspace | 1:13:08 | |
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337. | Electrical Flows, Optimization, and New Approaches to the Maximum Flow Problem III: Maximum Flows an | 1:13:07 | |
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338. | Planning and Markov Decision Processes (Part 2) | 1:13:05 | |
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339. | Earthquake Early Warning: Streaming Data to Reduce the Loss | 1:13:01 | |
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340. | New Techniques for Practical Lattice-Based Zero-Knowledge | 1:13:00 | |
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341. | Selective Inference and False Discovery Rate II | 1:13:00 | |
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342. | Predicting Cooperation Rates With A Learning Model | 1:12:55 | |
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343. | Supernovae and the Era of Synoptic Surveys | 1:12:49 | |
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344. | Spatial Spread of Dengue Virus: Appropriate Spatial Scales for Transmission | 1:12:46 | |
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345. | Recent Progress in High-Dimensional Learning | 1:12:29 | |
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346. | Pedagogical Talk: Frameworks for Information-Computation Tradeoffs | 1:12:28 | Guide |
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347. | Tensor Decomposition II | 1:12:28 | |
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348. | Tools from Stochastic Calculus 3 | 1:12:25 | |
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349. | When is Scale Enough? | 1:12:25 | |
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350. | Dynamic Graph Algorithms: What We Know and What We Don’t | Richard M. Karp Distinguished Lecture | 1:12:22 | |
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351. | Stochastic Second Order Optimization Methods II | 1:12:21 | |
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352. | Reinforcement Learning (Part I) | 1:12:20 | |
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353. | Mapping Neural Connections and Their Development II | 1:12:16 | |
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354. | Solving Polynomials I | 1:12:16 | |
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355. | Logic and Databases V | 1:12:14 | Vlog |
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356. | Crash Course on Probabilistically Checkable Proofs (PCP): Parallel Repetition | 1:12:06 | |
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357. | Writing Down Polynomials via Representation Theory II | 1:12:02 | |
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358. | Interactive Learning of Parsers from Weak Supervision | 1:11:57 | |
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359. | Is It Dark Matter, or Is Spacetime Undergoing a Random Walk? | 1:11:54 | |
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360. | Randomness in Number Theory | 1:11:51 | |
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361. | A Brief Introduction to Algorithms, Game Theory and Risk-Averse Decision Making | 1:11:50 | |
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362. | Attacks, Incentives, and Game-theoretic Analysis (Part II) | 1:11:50 | |
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363. | Quantum Supremacy via Boson Sampling: Theory and Practice | Quantum Colloquium | 1:11:43 | |
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364. | Outward-Facing Science | 1:11:40 | |
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365. | Harnessing the properties of equivariant neural networks to understand and design materials | 1:11:39 | |
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366. | The Edge of Physics: Crafting a Non-Fiction Narrative that Combines Science with Travel Writing | 1:11:37 | |
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367. | Applications of Obfuscation I | 1:11:36 | |
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368. | How Quantum Complexity Found Its Way into Black Hole Physics | Special Lecture | 1:11:35 | |
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369. | Deep Reinforcement Learning | 1:11:34 | |
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370. | Large Language Models Meet Copyright Law | 1:11:34 | |
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371. | Efficient Zero-Knowledge Proofs: A Modular Approach | 1:11:33 | |
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372. | The Effectiveness of Convex Programming in the Information and Physical Sciences | 1:11:33 | |
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373. | Geodesic Convexity and Optimization | 1:11:31 | |
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374. | Quantum Rewinding Tutorial, Part 1: Motivation and Early Rewinding Techniques | 1:11:31 | Tutorial |
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375. | Statistical Physics and Computation in High Dimension | 1:11:28 | |
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376. | Sparks of Artificial General Intelligence | 1:11:27 | |
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377. | Logical Quantum Processor Based on Reconfigurable Atom Arrays | 1:11:23 | Vlog |
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378. | Algorithmic game theory | 1:11:23 | |
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379. | The Invisible Hand of Prediction | 1:11:20 | |
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380. | Graph Linear Algebra Part 3 | 1:11:17 | |
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381. | Electrical Flows, Optimization, and New Approaches to the Maximum Flow Problem I: Electrical Flows a | 1:11:14 | |
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382. | (Hidden) Symmetries of Computational Problems (continued) | 1:11:10 | |
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383. | Information Theory in Computational Complexity II | 1:11:07 | Guide |
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384. | Pedagogical Talk: Failure of Low-Degree Polynomials | 1:11:05 | |
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385. | Near-Optimal Equilibria II | 1:11:03 | |
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386. | Algebraic Codes/Algorithms I | 1:11:01 | |
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387. | A Few Challenge Problems from Robotics | 1:10:57 | |
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388. | Algorithms for Answering Linear Queries, Part II | 1:10:56 | |
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389. | Foundations of RL | 1:10:55 | |
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390. | Algorithm Design and Law: Potential and Challenges | 1:10:55 | |
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391. | Tensor Decompositions: Uniqueness and Smoothed Analysis | 1:10:54 | |
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392. | Zero Knowledge from the Discrete Logarithm Problem | 1:10:50 | Vlog |
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393. | Advances in Boolean Function Analysis — On the Fourier-Entropy Influence Conjecture | 1:10:49 | |
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394. | Journalist-in-Residence Talk: The Limits of Fairness | 1:10:47 | |
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395. | Quantum Rewinding Tutorial, Part 2: How to Run a Quantum Attacker Many Times | 1:10:46 | Tutorial |
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396. | Algebraic and circuit complexity | 1:10:43 | |
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397. | Laplacian Systems and Electrical Flows I: Intro to Laplacian Systems, Iterative Methods, and Precond | 1:10:42 | |
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398. | Distributed Computing Meets Game Theory: Fault Tolerance and Implementation with Cheap Talk | 1:10:41 | |
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399. | Using Molecular Networks to Seed Predictive Hierarchies of Cell Systems | 1:10:40 | |
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400. | Graph algorithms | 1:10:39 | |
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