activity
20202025
most citedMemorizing without overfitting: Bias, variance, and interpolation in over-parameterized models

75 citations · 138 across the 11 of their papers we have counts for

collaborators

11 papers

q-bio.PE2025

Emergent frequency-dependent selection predicts mutation outcomes in complex ecological communities

Shing Yan Li, Zhijie Feng, Akshit Goyal +1

Ecological interactions can dramatically alter evolutionary outcomes in complex communities. Yet, the framework of population genetics largely neglects interactions from a species-…

q-bio.PE2024★ 1 cited

A universal niche geometry governs the response of ecosystems to environmental perturbations

Akshit Goyal, Jason W. Rocks, Pankaj Mehta

How ecosystems respond to environmental perturbations is a fundamental question in ecology, made especially challenging due to the strong coupling between species and their environ…

physics.bio-ph2023★ 39 cited

Phase transition to chaos in complex ecosystems with non-reciprocal species-resource interactions

Emmy Blumenthal, Jason W. Rocks, Pankaj Mehta

Non-reciprocal interactions between microscopic constituents can profoundly shape the large-scale properties of complex systems. Here, we investigate the effects of non-reciprocity…

q-bio.PE2023★ 11 cited

Geometry of ecological coexistence and niche differentiation

Emmy Blumenthal, Pankaj Mehta

A fundamental problem in ecology is to understand how competition shapes biodiversity and species coexistence. Historically, one important approach for addressing this question has…

q-bio.PE2023★ 1 cited

Emergent competition shapes the ecological properties of multi-trophic ecosystems

Zhijie Feng, Robert Marsland, Jason W. Rocks +1

Ecosystems are commonly organized into trophic levels -- organisms that occupy the same level in a food chain (e.g., plants, herbivores, carnivores). A fundamental question in theo…

cond-mat.soft2022★ 2 cited

Integrating local energetics into Maxwell-Calladine constraint counting to design mechanical metamaterials

Jason W. Rocks, Pankaj Mehta

The Maxwell-Calladine index theorem plays a central role in our current understanding of the mechanical rigidity of discrete materials. By considering the geometric constraints eac…

cond-mat.stat-mech2022★ 1 cited

Thermodynamic origins of topological protection in nonequilibrium stochastic systems

Pankaj Mehta, Jason Rocks

Topological protection has emerged as an organizing principle for understanding and engineering robust collective behavior in electronic and material systems. Recent work suggests…

stat.ML2022

Bias-variance decomposition of overparameterized regression with random linear features

Jason W. Rocks, Pankaj Mehta

In classical statistics, the bias-variance trade-off describes how varying a model's complexity (e.g., number of fit parameters) affects its ability to make accurate predictions. A…

stat.ML2021★ 2 cited

The Geometry of Over-parameterized Regression and Adversarial Perturbations

Jason W. Rocks, Pankaj Mehta

Classical regression has a simple geometric description in terms of a projection of the training labels onto the column space of the design matrix. However, for over-parameterized…

cond-mat.dis-nn2020★ 6 cited

The Perturbative Resolvent Method: spectral densities of random matrix ensembles via perturbation theory

Wenping Cui, Jason W. Rocks, Pankaj Mehta

We present a simple, perturbative approach for calculating spectral densities for random matrix ensembles in the thermodynamic limit we call the Perturbative Resolvent Method (PRM)…

stat.ML2020★ 75 cited

Memorizing without overfitting: Bias, variance, and interpolation in over-parameterized models

Jason W. Rocks, Pankaj Mehta

The bias-variance trade-off is a central concept in supervised learning. In classical statistics, increasing the complexity of a model (e.g., number of parameters) reduces bias but…