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Devavrat Shah

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titleconferencedate
CausalSim: A Causal Framework for Unbiased Trace-Driven SimulationNSDI 20232023-04-17
CausalSim provides a causal model and estimator that removes bias in trace-driven simulation by learning latent network conditions from an initial randomized…
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Causalsim: Trace-Driven Simulation For Network ProtocolsAlgorithmic Aspects of Causal Inference 20222022-03-18
CausalSim is a trace-driven counterfactual simulator that learns a causal network model from an initial RCT (PUFFER) to remove policy bias, maps counterfactual…
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Causal Matrix EstimationAlgorithmic Advances for Statistical Inference with Combinatorial Structure2021-10-11
Estimates a low‑rank matrix A when the observation mask D depends on latent row/column factors (a causal observation mask that can confound sampling but not…
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Frontiers of Machine Learning from the Lens of RetailComputational Theories of the Brain 20182018-04-16
Company vision treats extreme sparsity as the central technical problem and claims accurate per-SKU, per-channel demand forecasts by stitching text, image and…
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Time Series Analysis via Matrix EstimationSocietal Networks 20182018-03-26
Transforms a single noisy, partially observed series into a matrix by chopping into length-L columns, runs a black‑box matrix estimation routine, then undoes…
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Low Regret Recommendations and Item-Item Collaborative FilteringInformation Theory, Learning and Big Data (Simons Institute, 2015)2015-03-16
Shows that a simple item-item collaborative filtering algorithm (nearest-neighbor style with explicit explore/exploit and a never-repeat constraint) gets…
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