| 101. | Oblivious RAM I | 7,403 | |
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| 102. | Introduction to Quantum Hamiltonian Complexity | 7,377 | |
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| 103. | Reinforcement Learning: Hidden Theory and New Super-Fast Algorithms | 7,368 | |
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| 104. | Quantum Algorithms for Hamiltonian Simulation | Quantum Colloquium | 7,353 | |
|
| 105. | Finding Low-Rank Matrices: From Matrix Completion to Recent Trends | 7,334 | |
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| 106. | Does Computational Complexity Restrict Artificial Intelligence (AI) and Machine Learning? | 7,327 | |
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| 107. | Possible Impossibilities and Impossible Possibilities | 7,301 | |
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| 108. | Markov Chain Mixing Times and Applications I | 7,107 | |
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| 109. | Introduction to Practical FHE and the TFHE Scheme | 7,054 | |
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| 110. | Finding k Simple Shortest Paths and Cycles | 7,036 | |
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| 111. | Garbled Circuits I | 6,984 | |
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| 112. | Integrating Constraints into Deep Learning Architectures with Structured Layers | 6,979 | |
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| 113. | Optimization for Machine Learning II | 6,843 | |
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| 114. | Scaling Up Bayesian Inference for Big and Complex Data | 6,790 | |
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| 115. | Optimal Power Flow: Relaxation, Online Algorithm, Fast Dynamics | 6,786 | |
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| 116. | User-Friendly Tools for Random Matrices I | 6,749 | |
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| 117. | Machine Learning Combinatorial Optimization Algorithms | 6,710 | |
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| 118. | Robust Deep Learning Under Distribution Shift | 6,697 | |
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| 119. | Reinforcement Learning in Recommender Systems: Some Challenges | 6,634 | |
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| 120. | Graph Sparsification I: Sparsification via Effective Resistances | 6,489 | |
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| 121. | Stochastic Programming Approach to Optimization Under Uncertainty (Part 1) | 6,452 | |
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| 122. | From Classical Statistics to Modern Machine Learning | 6,408 | |
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| 123. | Secure Multiparty Computation I | 6,403 | |
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| 124. | Mathematical Models in Population Genetics I | 6,346 | |
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| 125. | Data is as Data Does: The Influence of Computation on Inference | 6,281 | |
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| 126. | Geometry, Optimization and Generalization in Multilayer Networks | 6,275 | |
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| 127. | A New Perspective on Adversarial Perturbations | 6,273 | |
|
| 128. | SAT-Solving | 6,202 | |
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| 129. | A Tale of Turing Machines, Quantum-Entangled Particles, and Operator Algebras | 6,197 | |
|
| 130. | Optimization Crash Course | 6,192 | |
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| 131. | A Theory for Emergence of Complex Skills in Language Models | 6,186 | |
|
| 132. | Intro and Foundations of Data Science I | 6,148 | |
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| 133. | Matrix Multiplication: Coppersmith-Winograd and Beyond | 6,139 | |
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| 134. | Error error error correcting correcting correcting codes codes codes | 6,135 | |
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| 135. | The Origin and Evolution of Life on Earth I | 6,115 | |
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| 136. | A Brief History of Practical Garbled Circuit Optimizations | 6,100 | |
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| 137. | Submodularity: Theory and Applications II | 6,098 | |
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| 138. | Distributional Robustness, Learning, and Empirical Likelihood | 6,045 | |
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| 139. | Why are Many-Body Problems in Physics so Difficult? | 6,037 | |
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| 140. | Sparks of Artificial General Intelligence | 6,029 | |
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| 141. | Stochastic Gradient MCMC for Independent and Dependent Data Sources | 6,012 | |
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| 142. | Lattices: Algorithms, Complexity, and Cryptography | 6,002 | |
|
| 143. | Liquid Time Constant Networks | 5,978 | |
|
| 144. | Studying Generalization in Deep Learning via PAC-Bayes | 5,902 | |
|
| 145. | Sperm Whale Communication: What we know so far/ Understanding Whale Communication: First steps | 5,883 | |
|
| 146. | A Tutorial on Reinforcement Learning II | 5,862 | |
|
| 147. | Duality 1 | 5,850 | |
|
| 148. | Algorithms for Single Cell RNAseq Analysis | 5,828 | |
|
| 149. | Berkeley in the 80s, Episode 1: Shafi Goldwasser | 5,821 | Show |
|
| 150. | Interactive Proofs (Part I) | 5,806 | |
|
| 151. | Coding for Modern Distributed Storage Systems I | 5,788 | |
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| 152. | Gradient Descent: The Mother of All Algorithms? | 5,698 | |
|
| 153. | Theory of Computation I | 5,684 | |
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| 154. | Matrix Factorizations | 5,652 | |
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| 155. | Spectral Graph Theory II: Expanders and Eigenvalues | 5,623 | |
|
| 156. | Introduction to Quantum Chemistry | 5,616 | |
|
| 157. | Geometry of Polynomials | 5,609 | |
|
| 158. | A Variational Inequality Framework for Network Games: Existence, Uniqueness, ... | 5,591 | |
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| 159. | Approximation Algorithms for Stochastic Optimization I | 5,584 | |
|
| 160. | Until the Sun Engulfs the Earth: Lower Bounds in Computational Complexity | Theory Shorts | 5,516 | |
|
| 161. | First-Order Stochastic Optimization | 5,490 | |
|
| 162. | Obfuscation I | 5,479 | |
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| 163. | Flexible Neural Networks and the Frontiers of Meta-Learning | 5,459 | |
|
| 164. | A Personal Viewpoint on Probabilistic Programming | 5,436 | |
|
| 165. | The New P | 5,431 | |
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| 166. | High-Dimensional Statistics II | 5,403 | |
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| 167. | Complexity and Algorithmic Game Theory I | 5,363 | |
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| 168. | The Imitation Learning View of Structured Prediction | 5,316 | |
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| 169. | Composing Graphical Models with Neural Networks for Structured Representations and Fast Inference | 5,305 | |
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| 170. | Optimization II | 5,279 | |
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| 171. | Sketching Big Data | 5,277 | |
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| 172. | The Science of Cause and Effect: From Deep Learning to Deep Understanding | 5,261 | |
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| 173. | The Predictive Brain: Michael Pollan, Celeste Kidd, Christos Papadimitriou, and Bruno Olshausen | 5,241 | |
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| 174. | Cryptocurrencies and Smart Contracts | 5,240 | |
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| 175. | PBFT and Blockchains | 5,178 | |
|
| 176. | Watermarking of Large Language Models | 5,127 | |
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| 177. | Accurate, Fast, and Model-Aware Transcript Expression Quantification with Salmon | 5,110 | |
|
| 178. | Yes, Generative Models Are The New Sparsity | 5,109 | |
|
| 179. | Trends in Large-scale Nonconvex Optimization | 5,106 | |
|
| 180. | Kidney Exchange: Algorithms and Incentives | 5,105 | |
|
| 181. | Introduction to Causal Graphical Models: Graphs, d-separation, do-calculus | 5,081 | |
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| 182. | Always Valid Inference: Continuous Monitoring of A/B Tests | 5,066 | |
|
| 183. | Mechanism Design with Limited Commitment | 5,013 | |
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| 184. | Deep Learning in Structural Biology and Protein Design: How, Where, and Why | 4,948 | |
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| 185. | Algebraic Lattices and Ring Learning with Errors | 4,947 | |
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| 186. | Dreamcoder: Bootstrapping Inductive Program Synthesis With Wake-Sleep Library Learning | 4,921 | |
|
| 187. | Learning to Predict Arbitrary Quantum Processes | 4,898 | |
|
| 188. | Embedding as a Tool for Algorithm Design | 4,884 | |
|
| 189. | Introduction to Geometric Complexity Theory I | 4,883 | |
|
| 190. | Online Reinforcement Learning and Regret | 4,881 | |
|
| 191. | A Brief Introduction to Theoretical Foundations of Machine Learning and Machine Teaching | 4,873 | |
|
| 192. | Using Lattices for Cryptanalysis | 4,862 | |
|
| 193. | Sparse PCA in High Dimensions | 4,856 | |
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| 194. | Stochastic Optimization for Big Data Machine Learning Problems | 4,854 | |
|
| 195. | MapReduce Algorithmics | 4,849 | |
|
| 196. | Semidefinite Programming Hierarchies I: Convex Relaxations for Hard Optimization Problems | 4,826 | |
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| 197. | The Complexity of Computing Averages | 4,811 | |
|
| 198. | Tutorial on Deep Learning II | 4,748 | |
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| 199. | How DeepSeek changes the LLM story | 4,742 | |
|
| 200. | Crash Course on Optimal Transport | 4,711 | |
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