2 citations · 7 across the 12 of their papers we have counts for
12 papers
On Fisher Consistency of Surrogate Losses for Optimal Dynamic Treatment Regimes with Multiple Categorical Treatments per Stage
Nilanjana Laha, Nilson Chapagain, Victoria Cicherski +1
Patients with chronic diseases often receive treatments at multiple time points, or stages. Our goal is to learn the optimal dynamic treatment regime (DTR) from longitudinal patien…
Revisiting the two-sample location shift model with a log-concavity assumption
Ridhiman Saha, Priyam Das, Nilanjana Laha
In this paper, we consider the two-sample location shift model, a classic semiparametric model introduced by Stein (1956). This model is known for its adaptive nature, enabling non…
On the Existence of Universal Lottery Tickets
Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee +1
The lottery ticket hypothesis conjectures the existence of sparse subnetworks of large randomly initialized deep neural networks that can be successfully trained in isolation. Rece…
Finding the Optimal Dynamic Treatment Regime Using Smooth Fisher Consistent Surrogate Loss
Nilanjana Laha, Aaron Sonabend-W, Rajarshi Mukherjee +1
Large health care data repositories such as electronic health records (EHR) open new opportunities to derive individualized treatment strategies for complicated diseases such as se…
On Statistical Inference with High Dimensional Sparse CCA
Nilanjana Laha, Nathan Huey, Brent Coull +1
We consider asymptotically exact inference on the leading canonical correlation directions and strengths between two high dimensional vectors under sparsity restrictions. In this r…
On Support Recovery with Sparse CCA: Information Theoretic and Computational Limits
Nilanjana Laha, Rajarshi Mukherjee
In this paper we consider asymptotically exact support recovery in the context of high dimensional and sparse Canonical Correlation Analysis (CCA). Our main results describe four r…
Improved inference for vaccine-induced immune responses via shape-constrained methods
Nilanjana Laha, Zoe Moodie, Ying Huang +1
We study the performance of shape-constrained methods for evaluating immune response profiles from early-phase vaccine trials. The motivating problem for this work involves quantif…
Adaptive estimation in symmetric location model under log-concavity constraint
Nilanjana Laha
We revisit the problem of estimating the center of symmetry of an unknown symmetric density . Although stone (1975), Eden (1970), and Sacks (1975) constructed adaptive estim…
Semi-Supervised Off Policy Reinforcement Learning
Aaron Sonabend-W, Nilanjana Laha, Ashwin N. Ananthakrishnan +2
Reinforcement learning (RL) has shown great success in estimating sequential treatment strategies which take into account patient heterogeneity. However, health-outcome information…
Bi--Concave Distributions
Nilanjana Laha, Zhen Miao, Jon A. Wellner
We introduce new shape-constrained classes of distribution functions on R, the bi--concave classes. In parallel to results of Dümbgen, Kolesnyk, and Wilke (2017) for what they…
Location estimation for symmetric log-concave densities
Nilanjana Laha
We revisit the problem of estimating the center of symmetry of an unknown symmetric density . Although Stone (1975), Van Eden (1970), and Sacks (1975) constructed adaptive e…
Bi--concave distributions
Nilanjana Laha, Jon A. Wellner
We introduce a new shape-constrained class of distribution functions on R, the bi--concave class. In parallel to results of Dümbgen, Kolesnyk, and Wilke (2017) for what they c…