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Evaluating LLM Hallucination with TruthfulQA
HW2 for USC ISE-547 2026 spring
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k-means Clustering
Formulating and implementing k-means clustering as a mixed-integer optimization problem.
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The Illustrated Transformer
A visual explanation of the Transformer model, its components, and how it works.
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embedding
Understanding embeddings: representing language in vector space.
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Hyperparameter Tuning for Best Subset Selection
Exploring methods for determining the optimal subset size k in best subset selection problems.
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JUST WHAT IS A LANGUAGE MODEL?
An introduction to language models: prediction, generation, and probabilities.
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ML-guided Predict + Search for Mixed-Integer Programming Problems
A hybrid framework combining machine learning with traditional optimization solvers for MIP problems.
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Facility Location Problem with Outliers and Capacity Constraints
Exploring a variant of the Facility Location Problem incorporating outlier rejection and capacity constraints.
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paper review: Solving Mixed Integer Programs Using Neural Networks
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Potential Outcome Framework and Matching Estimators
An introduction to the Neyman-Rubin causal model and matching methods
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Paper review: Building Representative Matched Samples With Multi-Valued Treatments in Large Observational Studies
A review of Magdelena Bennett et al. (2020) on using mixed-integer optimization to create representative matched samples for multi-valued treatments.
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Paper review: Improving randomized controlled trial analysis via data-adaptive borrowing
A deep dive into how machine learning and adaptive lasso can enhance RCTs by selectively borrowing information from external controls.
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Lecture 16: Canonical Gradient and Efficient Influence Curve
Notes by Rachael Phillips for PB HLTH 290, Spring 2019
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Vibe Coding Report: Advanced Recursive Maze Solver
A report on generating an Advanced Recursive Maze Solver (BFS with Teleports) using AI prompts.
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Vibe Coding Report: Recursive Maze Solver
A report on generating a Recursive Maze Solver using AI prompts and iterative refinement.
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Vibe Coding Report: Group Anagrams
A report on generating a Group Anagrams script using AI prompts and iterative refinement.
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Vibe Coding Report: Palindrome Checker
A report on generating a Palindrome Checker using AI prompts and iterative refinement.
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Vibe Coding Report 1: Word Frequency Analyzer
A report on generating a Word Frequency Analyzer using AI prompts and iterative refinement.
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Prompting for Vibe Coding
Strategies for effective AI-assisted coding: Structure, Iteration, and Meta-Prompting.
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Retrieval-Augmented Generation (RAG)
Understanding RAG: Connecting frozen LLMs to external dynamic knowledge.
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Dynamic Lot Sizing Problem
An introduction to the Dynamic Lot Sizing Problem and its key assumptions.
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Best Subset Selection via a Modern Optimization Lens
Lecture summary for 02-04-2026 on Best Subset Selection
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Augmented IPW and Double Robustness
AIPW estimator, double robustness, and cross-fitting
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FWL Theorem
Frisch-Waugh-Lovell theorem
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Deriving the IPW Estimator: From One RCT to Infinite RCTs under Unconfoundedness
An intuitive derivation of the Inverse Probability Weighting (IPW) estimator from a single RCT to multiple RCTs and observational data.
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When Does Linear Regression Yield Causal Inference?
Intuition on ATE estimation under unconfoundedness and overlap
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Fundamentals of Diffusion Map Embedding
Principles and practice of nonlinear dimensionality reduction popularly used in neuroscience.
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Fundamentals of Matching and Weighting Estimator for Causal Inference
Principles and practice of matching and weighting estimator for causal inference.
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FDR control: Storey's procedure
Review of Storey's procedure for FDR control.
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Data Analysis Detail: Subsequent Analysis for Biological Interpretation
Principle and practice of mapping the brain's functional architecture into a low-dimensional space.
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Fundamentals of Functional Connectivity and Gradients
Principle and practice of mapping the brain's functional architecture into a low-dimensional space.
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Wavelet Basis & Function Spaces: Besov vs. Hölder
Understanding Nonparametric Regression, Haar Wavelets, and Smoothness Norms
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Data Analysis Detail: Mouse Behavioral Study
Details for the data analysis section of the Nature Communications paper 'In-vivo integration of soft neural probes through high-resolution printing of liquid electronics on the cranium'
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Fundamentals of Phase Locking
Distinguishing Spike-Field Locking from Inter-Trial Phase Locking
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Fundamentals of Neural Signal Decomposition
Spikes, LFPs, and frequency bands
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Nonlinear Mixed-Effects Modeling
An overview of Nonlinear Mixed-Effects Models (NLME), their structure, and workflow using SimBiology.
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Fundamentals of the Filter-Hilbert Method
Decoupling filtering from the analytic signal for better frequency control
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Fundamentals of Continuous Wavelet Transform
Time-frequency decomposition using Analytic and Complex Morlet Wavelets
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Fundamentals of Fourier Transform
From neural oscillations to frequency domain analysis
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Fundamentals of Convolution
Inner product and convolution in signal processing and statistics
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Fundamentals of Neural Recording
Non-invasive, invasive, intracellular, extracellular, and single-unit recording methods