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Class-Notes-Supplement-Lec4-Jan27-Bayesian-deep-learning .pdf
Jan 29, 2025
Jan 29, 2025
Chandrajit Bajaj
2.2 MB
Data Clustering Using Hamiltonian Dynamics_ Parts 1, 2.pdf
Apr 2, 2025
Apr 2, 2025
Chandrajit Bajaj
782 KB
Deep Gaussian Processes_ Being Bayesian and thinking deep_ time-series prediction with uncertainty.pdf
Jan 29, 2025
Jan 29, 2025
Chandrajit Bajaj
2.2 MB
Diffusion Models - Introduction to Stoch Proc in ML.pdf
Feb 26, 2025
Feb 26, 2025
Chandrajit Bajaj
10 MB
Extended Hamiltonian Learning (Part 1)_ A Basic-Tutorial .pdf
Mar 10, 2025
Mar 10, 2025
Chandrajit Bajaj
904 KB
Hamiltonian-Flow-Fields-Intro.pdf
Feb 23, 2025
Feb 23, 2025
Chandrajit Bajaj
1.1 MB
Inverse Design of Materials-PAST-PRESENT.pdf
Apr 28, 2025
Apr 28, 2025
Chandrajit Bajaj
4.4 MB
Learning Dynamics with Control.pdf
Apr 2, 2025
Apr 2, 2025
Chandrajit Bajaj
1.1 MB
Lec-Notes-Bayesian inference_ MCMC and VAE.pdf
Feb 26, 2025
Feb 26, 2025
Chandrajit Bajaj
1.9 MB
Lec-Notes-Bayesian inference_ MCMC and Variational Inference.pdf
Feb 10, 2025
Feb 10, 2025
Chandrajit Bajaj
1.9 MB
Lec7-Introduction to Markov chains - HackMD.pdf
Feb 5, 2025
Feb 5, 2025
Chandrajit Bajaj
2.1 MB
Lecture_1_Introduction to High-Dimensional Spaces, Belief, and Decision-Making Spaces,_01-13-2025.pdf
Jan 13, 2025
Jan 13, 2025
Yi Wang
1.5 MB
Lecture_2_Learning Stochastic Regression Models_01-15-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
7.2 MB
Lecture_3_Multivariate Gaussians and Gaussian Processes_01-17-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
1.1 MB
Lecture_5_Basics of Kalman Filters_04-07-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
474 KB
Lecture_5_Sampling in High-Dimensional Space-Time_01-29-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
555 KB
Lecture_6_MonteCarlo vs Quasi Monte-Carlo, Relationship to Integration Error H-K Inequality_02-03-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
14.2 MB
Lecture_7_Introduction to Markov Chains, Page Rank, MCMC_02-05-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
2.2 MB
Lecture_8_Sampling and Learning with MCMC Variations_02-10-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
378 KB
Lecture_9_Bayesian Inference with MCMC and Variational Inference_02-12-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
2 MB
Lecture_10_Learning SVM via Continuous Stochastic Gradient Descent Optimization_02-17-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
2.8 MB
Lecture_11_Non-convex_Optimization_Projected_Stochastic_Policy_Gradient_02-19-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
4.6 MB
Lecture_12_Random Projections, Johnson-Lindenstrauss, Compressive Sensing.pdf
Mar 3, 2025
Mar 3, 2025
Yi Wang
253 KB
Lecture_13_Robust Sparse Recovery; Alternating Minimization_02-26-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
1.9 MB
Lecture_14_Learning Models with Latent Variables_Expectation Maximization_03-03-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
2.6 MB
Lecture_17_Learning Dynamics_Lyapunov Stability and connections to Training Deep Networks_03-24-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
1.7 MB
Lecture_18_Learning Dynamics with Neural ODEs (NODEs)_Adjoint Method for BackProp_03-26-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
1.3 MB
Lecture_20_Learning Dynamics with Control and Optimality_04-02-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
1 MB
Lecture_22_Learning Dynamics with Optimal Control Dynamics LQR, iLQR, iLQG_04-09-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
3.9 MB
Lecture_23_Guided Policy Search_04-14-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
2.8 MB
Lecture_24_Bandit Algorithms, Thompson Sampling_04-16-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
1.9 MB
Lecture_25_Time Series Analysis_04-21-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
610 KB
Lecture_26_Reward Reshaping Inverse Reinforcement Learning with Optimal Control_04-23-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
4.2 MB
Lecture_27_Active Learning 2_Dynamic POMDPS_04-28-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
10.6 MB
Lecture_Guided Policy Search_04-14-2025.pdf
Apr 17, 2025
Apr 17, 2025
Chandrajit Bajaj
2.8 MB
Note_1_Dynamical Systems and Deep Learning_01-13-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
3.4 MB
Note_1_Modern Statistical Machine Learning_01-13-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
2.3 MB
Note_2_Geometry of Norms and Approximations_01-15-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
457 KB
Note_2_Log-Sum-Exponential-Stability_01-15-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
318 KB
Note_2_Probability, Information and Probabilistic Inequalities_01-15-2025.pdf
Jan 17, 2025
Jan 17, 2025
Yi Wang
420 KB
Note_2_Stocashtic Machine Learning Entropy, Distributional Estimates_01-15-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
6.9 MB
Note_3_Introduction to Stochastic Processes_01-17-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
2.7 MB
Note_3_Learning Theory and Model Selection_01-22-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
7.5 MB
Note_3_PAC learning, Complexities_01-22-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
1.1 MB
Note_4_Multivariate Gaussians and Gaussian Processes_03-10-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
7.6 MB
Note_5_Concentration of Measure_02-03-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
556 KB
Note_5_Illustrated Kalman Filters_04-07-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
2.7 MB
Note_6_MonteCarlo vs Quasi Monte-Carlo, Relationship to Integration Error H-K Inequality_01-29-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
362 KB
Note_9_Learning by Random Walks on Graphs_02-12-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
882 KB
Note_10_Continuous Stochastic Gradient Descent (SGD) -- Simulated Annealing, Fokker-Planck_02-17-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
161 KB
Note_10_Learning with SGD variations, Adagrad, RMSProp, Adam_02-17-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
7.7 MB
Note_12_Tensor Sketching in Space-Time_02-24-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
10.5 MB
Note_17_Learning Dynamics Auto_Regressive Machine Learning_03-24-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
492 KB
Note_19_Learning Dynamics with Stochastic Neural ODEs (SNODEs)_Stochastic Adjoint Methods I_03-31-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
2.3 MB
Note_25_Games & MARL II_04-21-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
4.4 MB
Note_25_MARL -Markov Games_04-21-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
826 KB
Note_26_Stackelberg Equilibrium_04-23-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
222 KB
Note_27_Diffusion Models with Stochastic Langevin Dynamics_04-28-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
10.4 MB
Note_27_Energy-Based Learning Hopfield Networks, Boltzmann Machines, Restricted Boltzmann Machines_04-28-2025.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
2.6 MB
Note_EX_Actionable Learning.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
619 KB
Note_EX_Bayesian Inference and Generative Models (VAEs and GANs).pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
1 MB
Note_EX_Bayesian Modelling and Inference.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
5 MB
Note_EX_Connections to Variational AutoEncoders (VAEs).pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
456 KB
Note_EX_Eigen- Fischer-Faces, Fischer LDA, KDA.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
281 KB
Note_EX_Generative Adversarial Networks.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
1.4 MB
Note_EX_KSVM.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
281 KB
Note_EX_Learning with Normalizing Flows.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
16.4 MB
Note_EX_Markov (Reward, Decision) Processes MPs, MRPs, MDPs and POMDPs.pdf
Jan 10, 2025
Jan 10, 2025
Yi Wang
3.9 MB
Note_EX_Markov Decision Process (MDPs) and Markov Games.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
770 KB
Note_EX_Risk Averse No Regret Learning for Convex Games.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
812 KB
Note_EX_Robust Continuous learning of PDEs using Sparse Gaussian Processes.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
2.7 MB
Note_EX_Robustness Guarantees for Bayesian Inference and Gaussian Processes.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
1.2 MB
Note_EX_Spectral Methods for Learning Dimension Reduction -KPCA, Eigen- Fischer-Faces.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
268 KB
Note_EX_Transform Sampling revisited, Sampling Non-Linear Probability Distributions.pdf
Jan 9, 2025
Jan 9, 2025
Yi Wang
4.3 MB
Notes-Optimization-Machine Learning.pdf
Feb 24, 2025
Feb 24, 2025
Chandrajit Bajaj
431 KB
Probabilistic-Time-Series-Regression2.pdf
Feb 5, 2025
Feb 17, 2025
Chandrajit Bajaj
1.6 MB
Probabilistic-Times-Series-Regr3.pdf
Feb 5, 2025
Feb 17, 2025
Chandrajit Bajaj
1.8 MB
Probabilistic-TimeSeriesReg1-DeepGP-Bayesian-withUQ.pdf
Feb 5, 2025
Feb 17, 2025
Chandrajit Bajaj
2.2 MB
RL-Optimal-Control-NeuralPMP.pdf
Apr 21, 2025
Apr 21, 2025
Chandrajit Bajaj
11.7 MB
RL-with-Stochastic-Optimal-Control.pdf
Apr 21, 2025
Apr 21, 2025
Chandrajit Bajaj
6.5 MB
spring_2025-Matrix_Sampling.pdf
Mar 25, 2025
Mar 25, 2025
Chandrajit Bajaj
213 KB
Stochastic Gradient Hamiltonian Flows1-2-supp.pdf
Apr 21, 2025
Apr 21, 2025
Chandrajit Bajaj
881 KB
Stochastic Gradient Hamiltonian MC with Dynamics.pdf
Apr 2, 2025
Apr 2, 2025
Chandrajit Bajaj
404 KB
Stochastic Optimization and Statistical Machine Learning Formulations - HackMD.pdf
Feb 17, 2025
Feb 17, 2025
Chandrajit Bajaj
8.4 MB
Wasserstein Gradient Flows and the Fokker Planck Equation1.pdf
Feb 26, 2025
Feb 26, 2025
Chandrajit Bajaj
792 KB