160 citations · 1.5k across the 122 of their papers we have counts for
128 papers
Robust Detection of LLM-Generated Text under Contamination
Jiaxun Li, Saptarshi Chakraborty, Ambuj Tewari
We study the detection of LLM-generated text under editing and contamination. Modeling human and machine text as finite-order Markov processes with Huber contamination, we characte…
From Non-Convex to Strongly Convex: Curvature-Adaptive FTPL for Online Optimization
Moses Charikar, Chirag Pabbaraju, Ambuj Tewari
Curvature adaptivity is a classical theme in online optimization: for convex Lipschitz losses, adaptive methods interpolate between the optimal regret for general con…
Is Zero-Shot Super-Resolution Possible in Operator Learning?
Unique Subedi, Ambuj Tewari
Neural operators are often reported to exhibit zero-shot super-resolution, a phenomenon in which a model trained on coarse grids produces accurate predictions on finer testing grid…
Compute Aligned Training: Optimizing for Test Time Inference
Adam Ousherovitch, Ambuj Tewari
Scaling test-time compute has emerged as a powerful mechanism for enhancing Large Language Model (LLM) performance. However, standard post-training paradigms, Supervised Fine-Tunin…
Online Conformal Prediction: Enforcing monotonicity via Online Optimization
Eduardo Ochoa Rivera, Ambuj Tewari
Conformal prediction provides a principled framework for uncertainty quantification with finite-sample coverage guarantees. While recent work has extended conformal prediction to o…
Characterizing the Multiclass Learnability of Forgiving 0-1 Loss Functions
Jacob Trauger, Tyson Trauger, Ambuj Tewari
In this paper we will give a characterization of the learnability of forgiving 0-1 loss functions in the multiclass setting with effectively finite cardinality of the output and la…