Formal & Physical Sciences AI — Models & ResearchENDaniel Barzilai - Some Very Old and Very New Problems in Learning TheoryDaniel BarzilaiJune 12, 2026 38 min★ ★ ★ ★ ☆ 4/5Model CollapseSGD Lower BoundsMaximum Likelihood Estimation
Formal & Physical Sciences AI — Models & ResearchENNoam Razin - What Makes a Good Proxy Reward Function for Language Model Post-Training? (Eng)Noam RazinJune 5, 2026 52 min★ ★ ★ ★ ★ 5/5Reinforcement LearningLanguage ModelsReward Hacking
Formal & Physical Sciences AI — Models & ResearchENAlexander Shlimovich - Data Selection for Empirical Risk Minimization (Eng)Alexander ShlimovichMay 29, 2026 48 min★ ★ ★ ★ ☆ 4/5Data SelectionEmpirical Risk MinimizationLearning Theory
Formal & Physical Sciences AI — Models & ResearchENRon Levie - Szemerédi Regularity Lemma in Graph Machine Learning (Heb)Ron LevieMay 14, 2026 57 min★ ★ ★ ★ ☆ 4/5Szemerédi Regularity LemmaGraph Neural NetworksGraphons
Formal & Physical Sciences AI — Models & ResearchENIdan Mehalel - Sample Complexity and Mistake Bounds of Autoregressive Reasoning: CoT vs. EtE (Eng)Idan MehalelMay 14, 2026 61 min★ ★ ★ ★ ☆ 4/5AutoregressiveChain-of-ThoughtSample Complexity
Formal & Physical Sciences AI — Models & ResearchENItay Safran - Towards a Depth Hierarchy for Computing the Maximum in ReLU Networks (Heb)Itay SafranApril 30, 2026 61 min★ ★ ★ ★ ☆ 4/5ReLU NetworksDepth-Width TradeoffApproximation Theory
Formal & Physical Sciences Science — General & HistoryENMoshe Shenfeld - Privacy amplification by random allocation, or a tale of two sampling schemes (Eng)Moshe ShenfeldApril 23, 2026 58 min★ ★ ★ ★ ☆ 4/5Differential PrivacyDP-SGDPrivacy Amplification
Formal & Physical Sciences AI — Models & ResearchENGilad Karpel - Optimal Regularization in High Dimensional Continual Linear Regression (Eng)Gilad KarpelApril 16, 2026 59 min★ ★ ★ ★ ☆ 4/5Continual LearningRegularizationLinear Regression
Formal & Physical Sciences AI — Models & ResearchENIrit Chelly - Consistent Amortized Clustering via Generative Flow Networks (Heb)Irit ChellyJanuary 1, 2026 62 min★ ★ ★ ★ ☆ 4/5Amortized ClusteringGenerative Flow NetworksProbabilistic Clustering
Formal & Physical Sciences AI — Models & ResearchENInbar Seroussi - SGD Exact Dynamics in High-Dimension: Insights for Algorithm Design (Eng)Inbar SeroussiDecember 18, 2025 61 min★ ★ ★ ★ ☆ 4/5SGDHigh-DimensionalStochastic Optimization
Formal & Physical Sciences AI — Models & ResearchENZohar Ringel - A Heuristic for Feature Learning and Sample Complexity (Heb)Zohar RingelDecember 13, 2025 61 min★ ★ ★ ★ ☆ 4/5Deep Learning TheoryFeature LearningStatistical Physics
Formal & Physical Sciences MathematicsENEliad Tsfadia - Differentially Private Quasi-Concave Optimization (Eng)Eliad TsfadiaNovember 28, 2025 62 min★ ★ ★ ★ ☆ 4/5Differential PrivacyQuasi-Concave OptimizationSample Complexity
Formal & Physical Sciences AI — Models & ResearchENGal Vardi - A Theory of Learning with Autoregressive Chain of Thought (Heb)Gal VardiNovember 20, 2025 61 min★ ★ ★ ★ ☆ 4/5Chain-of-ThoughtPAC LearningSample Complexity
Formal & Physical Sciences AI — Models & ResearchENTom Tirer - Leveraging Temperature Scaling and Class Similarity for Conformal Prediction (Heb)Tom TirerNovember 14, 2025 63 min★ ★ ★ ★ ☆ 4/5Conformal PredictionTemperature ScalingClassification
Formal & Physical Sciences AI — Models & ResearchENYaniv Romano - Statistics-Powered ML: Reliable Black-Box Inference from Untrusted Data (Eng)Yaniv RomanoNovember 6, 2025 59 min★ ★ ★ ★ ★ 5/5Conformal PredictionUncertainty QuantificationSynthetic Data
Formal & Physical Sciences AI — Models & ResearchENTalya Eden - Fast Agnostic Learners in the Plane (Heb, online)Talya EdenNovember 1, 2025 70 min★ ★ ★ ★ ☆ 4/5Agnostic LearningComputational Learning TheoryGeometric Concept Classes
Formal & Physical Sciences AI — Models & ResearchENIdan Mehalel - A Tight Lower Bound for Non-stochatic Multi-armed Bandits with Expert Advice (Heb)Idan MehalelOctober 23, 2025 45 min★ ★ ★ ★ ☆ 4/5Multi-Armed BanditsExpert AdviceLower Bound
