Irit Chelly - Consistent Amortized Clustering via Generative Flow Networks (Heb)
HUJI Machine Learning Club
Irit Chelly - Consistent Amortized Clustering via Generative Flow Networks (Heb)
1:02:19
Inbar Seroussi - SGD Exact Dynamics in High-Dimension: Insights for Algorithm Design (En)
HUJI Machine Learning Club
Inbar Seroussi - SGD Exact Dynamics in High-Dimension: Insights for Algorithm Design (En)
1:01:41
Zohar Ringel - A Heuristic for Feature Learning and Sample Complexity (Heb)
HUJI Machine Learning Club
Zohar Ringel - A Heuristic for Feature Learning and Sample Complexity (Heb)
1:01:30
Eliad Tsfadia - Differentially Private Quasi-Concave Optimization (Eng)
HUJI Machine Learning Club
Eliad Tsfadia - Differentially Private Quasi-Concave Optimization (Eng)
1:02:14
Gal Vardi - A Theory of Learning with Autoregressive Chain of Thought (Heb)
HUJI Machine Learning Club
Gal Vardi - A Theory of Learning with Autoregressive Chain of Thought (Heb)
1:01:02
Tom Tirer - Leveraging Temperature Scaling and Class Similarity for Conformal Prediction (Heb)
HUJI Machine Learning Club
Tom Tirer - Leveraging Temperature Scaling and Class Similarity for Conformal Prediction (Heb)
1:03:23
Yaniv Romano - Statistics-Powered ML: Reliable Black-Box Inference from Untrusted Data (En)
HUJI Machine Learning Club
Yaniv Romano - Statistics-Powered ML: Reliable Black-Box Inference from Untrusted Data (En)
59:47
Talya Eden - Fast Agnostic Learners in the Plane (Heb, online)
HUJI Machine Learning Club
Talya Eden - Fast Agnostic Learners in the Plane (Heb, online)
1:10:50
Idan Mehalel - A Tight Lower Bound for Non-stochatic Multi-armed Bandits with Expert Advice (Heb)
HUJI Machine Learning Club
Idan Mehalel - A Tight Lower Bound for Non-stochatic Multi-armed Bandits with Expert Advice (Heb)
45:44
Roi Livni - Algorithmic Dependent Generalization Bounds (Heb)
HUJI Machine Learning Club
Roi Livni - Algorithmic Dependent Generalization Bounds (Heb)
50:52
Gil Einziger - Risk Management in AI models (Heb)
HUJI Machine Learning Club
Gil Einziger - Risk Management in AI models (Heb)
49:04
Uri Sherman - Convergence of Policy Mirror Descent Beyond Compatible Function Approximation (Heb)
HUJI Machine Learning Club
Uri Sherman - Convergence of Policy Mirror Descent Beyond Compatible Function Approximation (Heb)
57:25
Yuval Milo - Provable Benefits of Complex Parameterizations for Structured State Space Models (Heb)
HUJI Machine Learning Club
Yuval Milo - Provable Benefits of Complex Parameterizations for Structured State Space Models (Heb)
57:42
Aryeh Kontorovich - Learning infinitely many coins simultaneously (Heb)
HUJI Machine Learning Club
Aryeh Kontorovich - Learning infinitely many coins simultaneously (Heb)
57:05
Omri Azencot - Representation Learning and Generative Modeling using Koopman-based Approaches (Heb)
HUJI Machine Learning Club
Omri Azencot - Representation Learning and Generative Modeling using Koopman-based Approaches (Heb)
59:03
Liad Erez - The real price of bandit information in multiclass classification (En)
HUJI Machine Learning Club
Liad Erez - The real price of bandit information in multiclass classification (En)
55:37
Ethan Fetaya - Machine learning in deep weight spaces (Heb)
HUJI Machine Learning Club
Ethan Fetaya - Machine learning in deep weight spaces (Heb)
1:02:23
Dan Rosenbaum - Generative Inference for Underwater Perception (Heb)
HUJI Machine Learning Club
Dan Rosenbaum - Generative Inference for Underwater Perception (Heb)
1:01:33
Aviv Tamar - Neural Networks in Robot Planning (Heb)
HUJI Machine Learning Club
Aviv Tamar - Neural Networks in Robot Planning (Heb)
59:45
Guy Kornowski - The Elusive Role of High Dimensions in Modern Optimization and Generalization (En)
HUJI Machine Learning Club
Guy Kornowski - The Elusive Role of High Dimensions in Modern Optimization and Generalization (En)
56:47
Itamar Harel - Typical Interpolating Neural Nets Generalize Well (Heb)
HUJI Machine Learning Club
Itamar Harel - Typical Interpolating Neural Nets Generalize Well (Heb)
1:01:47
Bogdan Chornomaz - Sample Compression and Topological Radon Theorem (En)
HUJI Machine Learning Club
Bogdan Chornomaz - Sample Compression and Topological Radon Theorem (En)
55:58
Tomer Michaeli - The implicit bias of SGD: A Dynamical stability analysis (Heb)
HUJI Machine Learning Club
Tomer Michaeli - The implicit bias of SGD: A Dynamical stability analysis (Heb)
54:41
Nir Rosenfeld - Classification Under Strategic Self-Selection
HUJI Machine Learning Club
Nir Rosenfeld - Classification Under Strategic Self-Selection
59:17
Tal Gordon - Hessian vs. Gauss-Newton Matrix: An Analytic Study
HUJI Machine Learning Club
Tal Gordon - Hessian vs. Gauss-Newton Matrix: An Analytic Study
47:26
Ido Greenberg - Real-World AI: Risk and Robustness in Reinforcement Learning and Kalman Filtering
HUJI Machine Learning Club
Ido Greenberg - Real-World AI: Risk and Robustness in Reinforcement Learning and Kalman Filtering
58:16
Hilla Schefler - A unified characterization of private learning
HUJI Machine Learning Club
Hilla Schefler - A unified characterization of private learning
1:04:20
Idan Attias - Information Complexity of Stochastic Convex Optimization:
HUJI Machine Learning Club
Idan Attias - Information Complexity of Stochastic Convex Optimization:
59:02
Alon Peled-Cohen - Rate-Optimal Policy Optimization for Linear Markov Decision Processes
HUJI Machine Learning Club
Alon Peled-Cohen - Rate-Optimal Policy Optimization for Linear Markov Decision Processes
1:01:28
Anatoly Khina - Geometry-oriented Measures of Dependence
HUJI Machine Learning Club
Anatoly Khina - Geometry-oriented Measures of Dependence
1:01:09
Idan Mehalel - Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension
HUJI Machine Learning Club
Idan Mehalel - Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension
59:09
Or Sharir - Efficiency in the Age of Large Scale Models
HUJI Machine Learning Club
Or Sharir - Efficiency in the Age of Large Scale Models
1:03:34
Dan Vilenchik - Towards Reverse Algorithmic Engineering of Neural Networks
HUJI Machine Learning Club
Dan Vilenchik - Towards Reverse Algorithmic Engineering of Neural Networks
1:03:01
Itay Evron - Continual learning in linear regression and classification
HUJI Machine Learning Club
Itay Evron - Continual learning in linear regression and classification
59:22
Kobbi Nissim - PEP talk
HUJI Machine Learning Club
Kobbi Nissim - PEP talk
1:05:47
Ido Nachum - A Johnson--Lindenstrauss Framework for Randomly Initialized CNNs
HUJI Machine Learning Club
Ido Nachum - A Johnson--Lindenstrauss Framework for Randomly Initialized CNNs
1:00:29
Dan Rosenbaum - Functa: data as neural fields
HUJI Machine Learning Club
Dan Rosenbaum - Functa: data as neural fields
58:10
Ron Teichner - Identifying internal control and regulation in biological systems
HUJI Machine Learning Club
Ron Teichner - Identifying internal control and regulation in biological systems
1:02:00
Noam Razin - On the Ability of Graph Neural Networks to Model Interactions Between Vertices
HUJI Machine Learning Club
Noam Razin - On the Ability of Graph Neural Networks to Model Interactions Between Vertices
1:01:43
Martin Haardt, Joseph K. Chege - Maximum Likelihood Estimation of a Low-Rank Probability Mass Tensor
HUJI Machine Learning Club
Martin Haardt, Joseph K. Chege - Maximum Likelihood Estimation of a Low-Rank Probability Mass Tensor
1:02:17
Boris Shustin - Tractable Riemannian Optimization via Random Preconditioning and Manifold Learning
HUJI Machine Learning Club
Boris Shustin - Tractable Riemannian Optimization via Random Preconditioning and Manifold Learning
1:00:33
Amit Attia - Stability and Acceleration
HUJI Machine Learning Club
Amit Attia - Stability and Acceleration
59:15
Yoel Shkolnisky - Manifold denoising with application to electron microscopy
HUJI Machine Learning Club
Yoel Shkolnisky - Manifold denoising with application to electron microscopy
56:05
Gal Vardi - Implications of the implicit bias in ReLU networks
HUJI Machine Learning Club
Gal Vardi - Implications of the implicit bias in ReLU networks
1:02:34
Boaz Barak - Empirical Challenges to Theories of Deep Learning
HUJI Machine Learning Club
Boaz Barak - Empirical Challenges to Theories of Deep Learning
1:04:35
Nir Weinberger - Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models
HUJI Machine Learning Club
Nir Weinberger - Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models
58:58
Aryeh Kontorovich - Local Glivenko-Cantelli (or: estimating the mean in infinite dimensions)
HUJI Machine Learning Club
Aryeh Kontorovich - Local Glivenko-Cantelli (or: estimating the mean in infinite dimensions)
59:14
Moshe Shechner - Adversarial streaming: A survey
HUJI Machine Learning Club
Moshe Shechner - Adversarial streaming: A survey
59:20
Gilad Yehudai - On the benefits of deep and narrow neural networks
HUJI Machine Learning Club
Gilad Yehudai - On the benefits of deep and narrow neural networks
1:01:18
Paz Fink - Gauss-Legendre Features for Scalable Gaussian Process Regression
HUJI Machine Learning Club
Paz Fink - Gauss-Legendre Features for Scalable Gaussian Process Regression
1:04:41
Ibrahim Jubran - Coresets and Decision Trees
HUJI Machine Learning Club
Ibrahim Jubran - Coresets and Decision Trees
58:38
Tal Lancewicki - Delay and Cooperation in Reinforcement Learning
HUJI Machine Learning Club
Tal Lancewicki - Delay and Cooperation in Reinforcement Learning
55:56
Elad Granot - Generalization Bounds for Neural Networks via Approximate Description Length
HUJI Machine Learning Club
Elad Granot - Generalization Bounds for Neural Networks via Approximate Description Length
56:35
Moshe Shenfeld - Generalization in the Face of Adaptivity: A Bayesian Perspective
HUJI Machine Learning Club
Moshe Shenfeld - Generalization in the Face of Adaptivity: A Bayesian Perspective
59:09
Amir Yehudayoff - A characterization of multiclass learnability
HUJI Machine Learning Club
Amir Yehudayoff - A characterization of multiclass learnability
1:01:08
Noam Wies - Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks
HUJI Machine Learning Club
Noam Wies - Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks
32:28
Dan Vilenchik - From theory to practice and back– Stance Detection as a case study
HUJI Machine Learning Club
Dan Vilenchik - From theory to practice and back– Stance Detection as a case study
1:01:19
Nir Gov - The geometry of decision-making in individuals and collectives
HUJI Machine Learning Club
Nir Gov - The geometry of decision-making in individuals and collectives
1:07:43
Matthew Ricci - Go with the flow: A hypernetwork approach on families of dynamical systems
HUJI Machine Learning Club
Matthew Ricci - Go with the flow: A hypernetwork approach on families of dynamical systems
1:05:31
Gal Yona - Multi-group learning via Outcome Indistinguishability
HUJI Machine Learning Club
Gal Yona - Multi-group learning via Outcome Indistinguishability
53:08
Alon Cohen - Online Markov Decision Processes with Aggregate Bandit Feedback
HUJI Machine Learning Club
Alon Cohen - Online Markov Decision Processes with Aggregate Bandit Feedback
51:02
Nir Rosenfeld - Strategic Classification and Beyond
HUJI Machine Learning Club
Nir Rosenfeld - Strategic Classification and Beyond
57:42
Shay Moran - Extending Generalization Theory Towards Addressing Modern Challenges in ML
HUJI Machine Learning Club
Shay Moran - Extending Generalization Theory Towards Addressing Modern Challenges in ML
59:03
Tomer Berg - Deterministic Finite-Memory Bias Estimation
HUJI Machine Learning Club
Tomer Berg - Deterministic Finite-Memory Bias Estimation
1:04:36
Roi Livni - Online Learning with Simple Predictors
HUJI Machine Learning Club
Roi Livni - Online Learning with Simple Predictors
49:32
Tzvi Diskin - Learning to Estimate without Bias
HUJI Machine Learning Club
Tzvi Diskin - Learning to Estimate without Bias
42:07
Eran Malach - What can we learn with deep learning?
HUJI Machine Learning Club
Eran Malach - What can we learn with deep learning?
59:43
Ido Greenberg - Detecting Rewards Deterioration in Episodic Reinforcement Learning
HUJI Machine Learning Club
Ido Greenberg - Detecting Rewards Deterioration in Episodic Reinforcement Learning
52:53
Jean Honorio - Fair Sparse Regression with Clustering: An Invex Relaxation for a Comb. Problem
HUJI Machine Learning Club
Jean Honorio - Fair Sparse Regression with Clustering: An Invex Relaxation for a Comb. Problem
1:01:22
Guy Hacohen - Principal Components Bias in Deep Neural Networks
HUJI Machine Learning Club
Guy Hacohen - Principal Components Bias in Deep Neural Networks
1:05:14
Ittai Herrmann - Spectral Sensing of Crops Precision Agriculture Phenotyping
HUJI Machine Learning Club
Ittai Herrmann - Spectral Sensing of Crops Precision Agriculture Phenotyping
46:37
Aviv Tamar - The Interface of Reinforcement Learning and Planning
HUJI Machine Learning Club
Aviv Tamar - The Interface of Reinforcement Learning and Planning
1:00:41
Yoav Wald - On Calibration and Out of Domain Generalization
HUJI Machine Learning Club
Yoav Wald - On Calibration and Out of Domain Generalization
55:36
Tomer Koren - Why does SGD generalize better than others do
HUJI Machine Learning Club
Tomer Koren - Why does SGD generalize better than others do
57:48
Gilad Yehudai - On the Optimization Landscape of Neural Networks
HUJI Machine Learning Club
Gilad Yehudai - On the Optimization Landscape of Neural Networks
59:52
Noam Razin - Implicit Regularization in Tensor Factorization
HUJI Machine Learning Club
Noam Razin - Implicit Regularization in Tensor Factorization
46:42
Tomer Galanti - On the Modularity and Optimization Dynamics of Hypernetworks
HUJI Machine Learning Club
Tomer Galanti - On the Modularity and Optimization Dynamics of Hypernetworks
33:38
Asaf Noy - A Convergence Theory Towards Practical Over parameterized Deep Neural Networks
HUJI Machine Learning Club
Asaf Noy - A Convergence Theory Towards Practical Over parameterized Deep Neural Networks
31:21
Dan Vilenchik - Computational-statistical tradeoffs in finding sparse PCs in high-dimensional data
HUJI Machine Learning Club
Dan Vilenchik - Computational-statistical tradeoffs in finding sparse PCs in high-dimensional data
1:05:23
Omer Levy - Transformers More than Meets the Eye
HUJI Machine Learning Club
Omer Levy - Transformers More than Meets the Eye
1:08:13
Yoav Levine - Analyzing the self-attention architecture and improving BERT's modeling objective
HUJI Machine Learning Club
Yoav Levine - Analyzing the self-attention architecture and improving BERT's modeling objective
57:17
Dan Mikulincer - Memorization with two layers neural networks
HUJI Machine Learning Club
Dan Mikulincer - Memorization with two layers neural networks
1:02:33
Ravid Ziv - Information Flow in Deep Neural Networks
HUJI Machine Learning Club
Ravid Ziv - Information Flow in Deep Neural Networks
59:10
Roy Schwartz - Green NLP
HUJI Machine Learning Club
Roy Schwartz - Green NLP
57:23
Elad Romanov - Low rank matrix estimation in correlated noise
HUJI Machine Learning Club
Elad Romanov - Low rank matrix estimation in correlated noise
50:51
Eitan Richardson - The Surprising Effectiveness of Linear Unsupervised Image to Image Translation
HUJI Machine Learning Club
Eitan Richardson - The Surprising Effectiveness of Linear Unsupervised Image to Image Translation
59:00
Leah Bar - Strong Solutions for PDE Based Tomography by Unsupervised Learning
HUJI Machine Learning Club
Leah Bar - Strong Solutions for PDE Based Tomography by Unsupervised Learning
1:02:37
Yahav Bechavod - Metric Free Individual Fairness in Online Learning
HUJI Machine Learning Club
Yahav Bechavod - Metric Free Individual Fairness in Online Learning
59:09
Yair Weiss - A Bayes Optimal View of Adversarial Examples
HUJI Machine Learning Club
Yair Weiss - A Bayes Optimal View of Adversarial Examples
1:01:48
Roi Livni - Can Implicit Bias Explain Generalization
HUJI Machine Learning Club
Roi Livni - Can Implicit Bias Explain Generalization
1:04:33
Eran Malach - Learning the Unlearnable
HUJI Machine Learning Club
Eran Malach - Learning the Unlearnable
59:24
Elad Eban - Structured Multi Hashing for Model Compression
HUJI Machine Learning Club
Elad Eban - Structured Multi Hashing for Model Compression
1:04:24
Lee Cohen - Efficient candidate screening under multiple tests and implications for fairness
HUJI Machine Learning Club
Lee Cohen - Efficient candidate screening under multiple tests and implications for fairness
40:55
Gal Kaplun - Understanding generalization requires rethinking deep learning
HUJI Machine Learning Club
Gal Kaplun - Understanding generalization requires rethinking deep learning
1:02:18