Mind75 min
Fairness Evaluation in Context
Write a model-use recommendation with stakeholder questions, measurement limitations and conditions for declining deployment.
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Practical routines for a specific outcome. Inspect the commitment, understand the source, then start when it fits your life.
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Mind75 min
Calibration, Shift and Model Explanations
Use calibration and shift measurements to justify a monitoring or abstention threshold, and give an explicit confounding counterexample to causal feature-attribution claims.
Mind75 min
Causal Questions and Identification
Defend a causal claim or refusal using the DAG, numerical estimates and a counterexample showing why predictive model fit cannot establish identification.
Mind75 min
Reinforcement Learning from Bellman Equations
Defend the evaluation and reward design, identifying a behavior that exploits the reward without solving the intended task.
Mind75 min
Diffusion Objectives and Sampling Tradeoffs
Explain one sampler failure with numerical or statistical evidence and delimit reduced-scale claims.
Mind75 min
Adversarial Generators and Failure Analysis
Use saved training trajectories and a controlled intervention to explain a failure, separating equilibrium theory from observed empirical stability.
Mind75 min
Variational Autoencoders and Latent Evidence
Use measured reconstruction/KL results to defend the tradeoff, diagnose one collapse case and explain with a counterexample why a latent coordinate is not automatically causal.
Mind75 min
Language Model Adaptation and Scaling
Defend adaptation and compute-allocation choices, explicitly limiting conclusions to the tested scale and domain.
Mind75 min
Self-Supervised Representations and Transfer
Defend a representation choice using recorded matched-budget probe/transfer results and a failed transfer case; an embedding visualization alone cannot support the choice.
Mind75 min
Stochastic Optimization beyond SGD
Use a measured convex-versus-neural comparison and an explicit failed assumption to delimit which variance-reduction findings transfer.
Mind75 min
Bayesian Inference and Graphical Models
Use the tractable fixture and posterior predictive results to separate approximation, sampling and model errors; justify one revised modeling assumption.
Mind75 min
Design and Defend an Original Experiment
Submit a 6–10 page research-style report for external criticism, record the response and revise one claim or experiment based on substantive feedback.
Mind75 min
Reproduce a Result under Controlled Budgets
Write a 6–10 page replication report that attributes discrepancies to tested causes or labels them unresolved; obtain one independent review.
Mind75 min
Read Papers as Testable Arguments
Produce a 2-page critical review with contribution, strongest/weakest evidence, limitations, open questions and a falsifiable follow-up experiment.
Mind75 min
Generalization Claims with Explicit Assumptions
Apply the bound to a measured overparameterized-model example, identify each unmet assumption and explain why any vacuous value cannot support a generalization claim.
Mind75 min
End-to-End ML with a Defensible Decision
Defend a deployment or no-deployment recommendation in a 6–10 page report with evidence, limitations, rollback and unresolved risks.