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PDF File Class-Notes-Supplement-Lec4-Jan27-Bayesian-deep-learning .pdf	Class-Notes-Supplement-Lec4-Jan27-Bayesian-deep-learning .pdf	Jan 29, 20251/29/2025	Apr 7, 20254/7/2025	Chandrajit Bajaj	2.2 MB
PDF File Data Clustering Using Hamiltonian Dynamics_ Parts 1, 2.pdf	Data Clustering Using Hamiltonian Dynamics_ Parts 1, 2.pdf	Apr 2, 20254/2/2025	Apr 2, 20254/2/2025	Chandrajit Bajaj	782 KB
PDF File Deep Gaussian Processes_ Being Bayesian and thinking deep_ time-series prediction with uncertainty.pdf	Deep Gaussian Processes_ Being Bayesian and thinking deep_ time-series prediction with uncertainty.pdf	Jan 29, 20251/29/2025	Jan 29, 20251/29/2025	Chandrajit Bajaj	2.2 MB
PDF File Diffusion Models - Introduction to Stoch Proc in ML.pdf	Diffusion Models - Introduction to Stoch Proc in ML.pdf	Feb 26, 20252/26/2025	Mar 3, 20253/3/2025	Chandrajit Bajaj	10 MB
PDF File Extended Hamiltonian Learning (Part 1)_ A Basic-Tutorial .pdf	Extended Hamiltonian Learning (Part 1)_ A Basic-Tutorial .pdf	Mar 10, 20253/10/2025	Apr 7, 20254/7/2025	Chandrajit Bajaj	904 KB
PDF File Hamiltonian-Flow-Fields-Intro.pdf	Hamiltonian-Flow-Fields-Intro.pdf	Feb 23, 20252/23/2025	Apr 7, 20254/7/2025	Chandrajit Bajaj	1.1 MB
PDF File Inverse Design of Materials-PAST-PRESENT.pdf	Inverse Design of Materials-PAST-PRESENT.pdf	Apr 28, 20254/28/2025	Apr 28, 20254/28/2025	Chandrajit Bajaj	4.4 MB
PDF File Learning Dynamics with Control.pdf	Learning Dynamics with Control.pdf	Apr 2, 20254/2/2025	Apr 7, 20254/7/2025	Chandrajit Bajaj	1.1 MB
PDF File Lec-Notes-Bayesian inference_ MCMC and VAE.pdf	Lec-Notes-Bayesian inference_ MCMC and VAE.pdf	Feb 26, 20252/26/2025	Feb 26, 20252/26/2025	Chandrajit Bajaj	1.9 MB
PDF File Lec-Notes-Bayesian inference_ MCMC and Variational Inference.pdf	Lec-Notes-Bayesian inference_ MCMC and Variational Inference.pdf	Feb 10, 20252/10/2025	Feb 26, 20252/26/2025	Chandrajit Bajaj	1.9 MB
PDF File Lec7-Introduction to Markov chains - HackMD.pdf	Lec7-Introduction to Markov chains - HackMD.pdf	Feb 5, 20252/5/2025	Feb 5, 20252/5/2025	Chandrajit Bajaj	2.1 MB
PDF File Lecture_1_Introduction to High-Dimensional Spaces, Belief, and Decision-Making Spaces,_01-13-2025.pdf	Lecture_1_Introduction to High-Dimensional Spaces, Belief, and Decision-Making Spaces,_01-13-2025.pdf	Jan 13, 20251/13/2025	Jan 15, 20251/15/2025	Yi Wang	1.5 MB
PDF File Lecture_2_Learning Stochastic Regression Models_01-15-2025.pdf	Lecture_2_Learning Stochastic Regression Models_01-15-2025.pdf	Jan 9, 20251/9/2025	Jan 17, 20251/17/2025	Yi Wang	7.2 MB
PDF File Lecture_3_Multivariate Gaussians and Gaussian Processes_01-17-2025.pdf	Lecture_3_Multivariate Gaussians and Gaussian Processes_01-17-2025.pdf	Jan 9, 20251/9/2025	Feb 21, 20252/21/2025	Yi Wang	1.1 MB
PDF File Lecture_5_Basics of Kalman Filters_04-07-2025.pdf	Lecture_5_Basics of Kalman Filters_04-07-2025.pdf	Jan 9, 20251/9/2025	Feb 14, 20252/14/2025	Yi Wang	474 KB
PDF File Lecture_5_Sampling in High-Dimensional Space-Time_01-29-2025.pdf	Lecture_5_Sampling in High-Dimensional Space-Time_01-29-2025.pdf	Jan 9, 20251/9/2025	Jan 30, 20251/30/2025	Yi Wang	555 KB
PDF File Lecture_6_MonteCarlo vs Quasi Monte-Carlo, Relationship to Integration Error H-K Inequality_02-03-2025.pdf	Lecture_6_MonteCarlo vs Quasi Monte-Carlo, Relationship to Integration Error H-K Inequality_02-03-2025.pdf	Jan 9, 20251/9/2025	Jan 29, 20251/29/2025	Yi Wang	14.2 MB
PDF File Lecture_7_Introduction to Markov Chains, Page Rank, MCMC_02-05-2025.pdf	Lecture_7_Introduction to Markov Chains, Page Rank, MCMC_02-05-2025.pdf	Jan 9, 20251/9/2025	Feb 4, 20252/4/2025	Yi Wang	2.2 MB
PDF File Lecture_8_Sampling and Learning with MCMC Variations_02-10-2025.pdf	Lecture_8_Sampling and Learning with MCMC Variations_02-10-2025.pdf	Jan 9, 20251/9/2025	Feb 9, 20252/9/2025	Yi Wang	378 KB
PDF File Lecture_9_Bayesian Inference with MCMC and Variational Inference_02-12-2025.pdf	Lecture_9_Bayesian Inference with MCMC and Variational Inference_02-12-2025.pdf	Jan 9, 20251/9/2025	Feb 6, 20252/6/2025	Yi Wang	2 MB
PDF File Lecture_10_Learning SVM via Continuous Stochastic Gradient Descent Optimization_02-17-2025.pdf	Lecture_10_Learning SVM via Continuous Stochastic Gradient Descent Optimization_02-17-2025.pdf	Jan 9, 20251/9/2025	Feb 19, 20252/19/2025	Yi Wang	2.8 MB
PDF File Lecture_11_Non-convex_Optimization_Projected_Stochastic_Policy_Gradient_02-19-2025.pdf	Lecture_11_Non-convex_Optimization_Projected_Stochastic_Policy_Gradient_02-19-2025.pdf	Jan 9, 20251/9/2025	Apr 8, 20254/8/2025	Yi Wang	4.6 MB
PDF File Lecture_12_Random Projections, Johnson-Lindenstrauss, Compressive Sensing.pdf	Lecture_12_Random Projections, Johnson-Lindenstrauss, Compressive Sensing.pdf	Mar 3, 20253/3/2025	Mar 5, 20253/5/2025	Yi Wang	253 KB
PDF File Lecture_13_Robust Sparse Recovery; Alternating Minimization_02-26-2025.pdf	Lecture_13_Robust Sparse Recovery; Alternating Minimization_02-26-2025.pdf	Jan 9, 20251/9/2025	Jan 30, 20251/30/2025	Yi Wang	1.9 MB
PDF File Lecture_14_Learning Models with Latent Variables_Expectation Maximization_03-03-2025.pdf	Lecture_14_Learning Models with Latent Variables_Expectation Maximization_03-03-2025.pdf	Jan 9, 20251/9/2025	Feb 23, 20252/23/2025	Yi Wang	2.6 MB

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