| 301. | Analyzing Optimization and Generalization in Deep Learning via Trajectories of Gradient Descent | 3,346 | |
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| 302. | In-Context Learning: A Case Study of Simple Function Classes | 3,338 | |
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| 303. | Planning and Markov Decision Processes Part 1 (reupload) | 3,336 | |
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| 304. | Classical Simulation of Quantum Many-body Systems with Tensor Networks | 3,329 | |
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| 305. | Statistical Inference II | 3,292 | |
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| 306. | Reed-Muller and Other Subcodes of the Sierpinski Matrix | 3,276 | |
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| 307. | Optimal Data-Dependent Hashing for Nearest Neighbor Search | 3,266 | |
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| 308. | Sketching for Linear Algebra: Basics of Dimensionality Reduction and CountSketch I | 3,257 | |
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| 309. | The Adaptive Immune System as a Learning Algorithm | 3,254 | |
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| 310. | Automata Learning -- Infinite Alphabets and Application to Verification | 3,249 | |
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| 311. | Strong Data Processing Inequalities and Estimation with Constraints | 3,245 | |
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| 312. | A Faster Algorithm for Linear Programming and the Maximum Flow Problem II | 3,241 | |
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| 313. | Robustness, Stochastics, Uncertainty 1 | 3,239 | |
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| 314. | Ancestral Population Genomics with Coalescent Hidden Markov Models | 3,221 | |
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| 315. | Robust PCA via Non-convex Methods: Provable Bounds | 3,216 | |
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| 316. | Why Deep Learning Works: Implicit Self-Regularization in Deep Neural Networks | 3,209 | |
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| 317. | Generalization II | 3,209 | |
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| 318. | Practical Model-based Algorithms for Reinforcement Learning and Imitation Learning, with... | 3,191 | |
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| 319. | Analysis of Algorithms on Dense Matrices using Approximate Message Passing | 3,168 | |
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| 320. | Michael Cohen and High-dimensional Probability | 3,134 | |
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| 321. | Let's Make Block Coordinate Descent Go Fast | 3,124 | |
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| 322. | Tutorial on Deep Learning III | 3,121 | |
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| 323. | Random Walk on Random Directed Graphs | 3,119 | |
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| 324. | Introduction to Regulatory Genomics and Epigenomics I: Intro to the Biology of Gene Regulation | 3,114 | |
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| 325. | SAT-Solving | 3,101 | |
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| 326. | Robustness and Separation in Multidimensional Mechanism Design | 3,098 | |
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| 327. | Analytic Methods for Supervised Learning I | 3,098 | |
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| 328. | Differential Privacy | 3,077 | |
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| 329. | In Pursuit of Structure: Why a Little Randomness (Almost) Always Helps | 3,077 | |
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| 330. | Homomorphic Commitments & Signatures | 3,074 | |
|
| 331. | PLONK: Permutations over Lagrange-Bases for Oecumenical Noninteractive arguments of Knowledge | 3,071 | |
|
| 332. | Quantum Algorithms -- An Overview of Techniques | 3,068 | |
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| 333. | Learning by Local Entropy Maximization | 3,061 | |
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| 334. | Privacy Amplification by Sampling and Renyi Differential Privacy | 3,042 | |
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| 335. | Programming Z3 | 3,041 | |
|
| 336. | Learning Exploration Strategies with Meta-Reinforcement Learning | 3,035 | |
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| 337. | Practical Applications of Homomorphic Encryption | 3,034 | |
|
| 338. | Historical Talk on Lattice-Based Cryptography | 3,033 | |
|
| 339. | Quantum Supremacy via Boson Sampling: Theory and Practice | Quantum Colloquium | 3,029 | |
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| 340. | Many-body Physics and Complexity I | 3,028 | |
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| 341. | Online Learning and Online Convex Optimization II | 3,023 | |
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| 342. | Build an Ecosystem, Not a Monolith | 3,016 | |
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| 343. | Mathematical Theories of Communication: Old and New | 3,012 | |
|
| 344. | Coding for Modern Distributed Storage Systems III | 2,993 | |
|
| 345. | The Power of Graph Learning | Richard M. Karp Distinguished Lecture | 2,989 | |
|
| 346. | Random Circuit Sampling: Thoughts and Open Problems | 2,983 | |
|
| 347. | Algorithmic High-Dimensional Geometry I | 2,983 | |
|
| 348. | A Modern Maximum-Likelihood Theory for High-Dimensional Logistic Regression | 2,977 | Vlog |
|
| 349. | In Search of New Algorithms Part I: Neural Networks | 2,975 | |
|
| 350. | Hardness for Sequence Problems - LCS and Frechet Distance | 2,966 | |
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| 351. | Multi-Agent Reinforcement Learning (Part II) | 2,966 | |
|
| 352. | An Introduction to Hamiltonian Monte Carlo Method for Sampling | 2,961 | |
|
| 353. | TUTORIAL: Recent Development in Differential Privacy I | 2,951 | Tutorial |
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| 354. | An Automated Approach to the Collatz Conjecture | 2,946 | |
|
| 355. | The Sparse Manifold Transform | 2,943 | |
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| 356. | Debiasing Random Forests For Treatment Effect Estimation | 2,937 | |
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| 357. | Multicalibration: Towards Fair Decision Making | 2,937 | |
|
| 358. | Laplacian Eigenvalues, Metric Uniformization, and Incidence Geometry | 2,931 | |
|
| 359. | The Move Toward AGI: Why Large Language Models Surprised Almost Everyone... | Theoretically Speaking | 2,930 | |
|
| 360. | Fundamental Techniques in Pseudorandomness I | 2,917 | |
|
| 361. | How Large is the Norm of a Random Matrix? | 2,914 | |
|
| 362. | Interpretability - now what? | 2,910 | |
|
| 363. | Bitcoin's Incentive Structure | 2,897 | |
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| 364. | Fundamental Limit of Community Detection in Stochastic Block Models | 2,888 | |
|
| 365. | Tutorial on Deep Learning IV | 2,885 | |
|
| 366. | Provably Learning of Noisy-or Networks | 2,882 | |
|
| 367. | Profile of Luca Trevisan, the Simons Institute's Incoming Senior Scientist | 2,882 | |
|
| 368. | Simple and Deterministic Matrix Sketches | 2,882 | |
|
| 369. | Game Theory Applied to Mining Pools, Token Offering, Dao, and Consensus Protocols | 2,870 | |
|
| 370. | Lessons Learned from Evaluating the Robustness of Defenses to Adversarial Examples | 2,865 | |
|
| 371. | Sequential Decision Making: Prophets and Secretaries I | 2,865 | |
|
| 372. | Mapping Neural Connections and Their Development I | 2,851 | |
|
| 373. | Randomness in Number Theory | 2,846 | |
|
| 374. | Approximate Message Passing Algorithms | 2,826 | |
|
| 375. | Towards Practical Quantum Advantage | Quantum Colloquium | 2,823 | |
|
| 376. | Power and Limitations of the QAOA | 2,811 | |
|
| 377. | Computational Complexity of Polynomial Time Problems: Introduction | 2,808 | |
|
| 378. | Provable Robustness Beyond Bound Propagation | 2,798 | |
|
| 379. | Low-Rank Matrix Recovery Through Rank-One Projections | 2,798 | |
|
| 380. | Optimal Broadcast Encryption and More from Evasive LWE | 2,794 | |
|
| 381. | Obfuscation: Past, Present, and Possible Futures | 2,791 | |
|
| 382. | The Power and Limitations of Kernel Learning | 2,789 | |
|
| 383. | Networks and Economics 1 | 2,789 | |
|
| 384. | Recent Developments in Over-parametrized Neural Networks, Part I | 2,787 | |
|
| 385. | Offline Reinforcement Learning and Model-Based Optimization | 2,775 | |
|
| 386. | Quantum Supremacy and its Applications | 2,769 | |
|
| 387. | Quantum Random Walks | 2,762 | |
|
| 388. | Coding for DNA-based Storage Systems | 2,760 | |
|
| 389. | Fundamentals of Stringology I: Recap on Exact Pattern Matching and Alignment Algorithms | 2,758 | |
|
| 390. | Erdős and Shannon: A Story of Probability, Communication, and Combinatorics | 2,751 | |
|
| 391. | Computing Sheaf Cohomology for Products of Projective Spaces | 2,750 | |
|
| 392. | Recent Advances in Quantum Simulation | 2,742 | |
|
| 393. | Answer Set Programming in a Nutshell | 2,742 | |
|
| 394. | Recent Algorithmic Primitives: Linear Combination of Unitaries and Quantum Signal Processing | 2,739 | |
|
| 395. | The Quantum LDPC Manifesto | Quantum Colloquium | 2,739 | |
|
| 396. | Logic and Quantum Information I | 2,731 | Vlog |
|
| 397. | Rebel: Combining Deep Reinforcement Learning and Search for Imperfect-Information Games | 2,731 | |
|
| 398. | Learning Theory of Transformers: Generalization and Optimization of In-Context Learning | 2,729 | |
|
| 399. | Beyond Locality-Sensitive Hashing | 2,728 | |
|
| 400. | A General Introduction to Quantum Tomography -- and a Specialized Report on Property Testing... | 2,721 | |
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