Ankur Sinha
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View article: FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data
FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data Open
Large language models (LLMs) excel at generating human-like responses but often struggle with interactive tasks that require access to real-time information. This limitation poses challenges in finance, where models must access up-to-date …
View article: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si96.svg" display="inline" id="d1e6334"><mml:mi>δ</mml:mi></mml:math>-perturbation of bilevel optimization problems: An error bound analysis
-perturbation of bilevel optimization problems: An error bound analysis Open
In this paper, we analyze a perturbed formulation of bilevel optimization problems, which we refer to as 𝛿-perturbed formulation. The 𝛿-perturbed formulation allows to handle the lower level optimization problem efficiently when there are …
View article: Decomposition of Difficulties in Complex Optimization Problems Using a Bilevel Approach
Decomposition of Difficulties in Complex Optimization Problems Using a Bilevel Approach Open
Practical optimization problems may contain different kinds of difficulties that are often not tractable if one relies on a particular optimization method. Different optimization approaches offer different strengths that are good at tackli…
View article: An Exact Algorithm for Optimization Problems with Inverse S-shaped Function
An Exact Algorithm for Optimization Problems with Inverse S-shaped Function Open
In this paper, we propose an exact general algorithm for solving non-convex optimization problems, where the non-convexity arises due to the presence of an inverse S-shaped function. The proposed method involves iteratively approximating t…
View article: A Linear Programming Enhanced Genetic Algorithm for Hyperparameter Tuning in Machine Learning
A Linear Programming Enhanced Genetic Algorithm for Hyperparameter Tuning in Machine Learning Open
In this paper, we formulate the hyperparameter tuning problem in machine\nlearning as a bilevel program. The bilevel program is solved using a micro\ngenetic algorithm that is enhanced with a linear program. While the genetic\nalgorithm se…
View article: Proceedings of the Sixth Workshop on Financial Technology and Natural Language Processing
Proceedings of the Sixth Workshop on Financial Technology and Natural Language Processing Open
Natural language processing (NLP) has recently gained relevance within financial institutions by providing highly valuable insights into companies and markets' financial documents.However, the landscape of the financial domain presents ext…
View article: MCDM, EMO and Hybrid Approaches: Tutorial and Review
MCDM, EMO and Hybrid Approaches: Tutorial and Review Open
Most of the practical applications that require optimization often involve multiple objectives. These objectives, when conflicting in nature, pose both optimization as well as decision-making challenges. An optimization procedure for such …
View article: A Globally Convergent Gradient-based Bilevel Hyperparameter Optimization Method
A Globally Convergent Gradient-based Bilevel Hyperparameter Optimization Method Open
Hyperparameter optimization in machine learning is often achieved using naive techniques that only lead to an approximate set of hyperparameters. Although techniques such as Bayesian optimization perform an intelligent search on a given do…
View article: A General Purpose Exact Solution Method for Mixed Integer Concave Minimization Problems
A General Purpose Exact Solution Method for Mixed Integer Concave Minimization Problems Open
In this article, we discuss an exact algorithm for solving mixed integer concave minimization problems. A piecewise inner-approximation of the concave function is achieved using an auxiliary linear program that leads to a bilevel program, …
View article: BioSimulators: a central registry of simulation engines and services for recommending specific tools
BioSimulators: a central registry of simulation engines and services for recommending specific tools Open
Computational models have great potential to accelerate bioscience, bioengineering, and medicine. However, it remains challenging to reproduce and reuse simulations, in part, because the numerous formats and methods for simulating various …
View article: <scp>SEntFiN</scp> 1.0: <scp>Entity‐aware</scp> sentiment analysis for financial news
<span>SEntFiN</span> 1.0: <span>Entity‐aware</span> sentiment analysis for financial news Open
Fine‐grained financial sentiment analysis on news headlines is a challenging task requiring human‐annotated datasets to achieve high performance. Limited studies have tried to address the sentiment extraction task in a setting where multip…
View article: A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning Open
Hyperparameter tuning is an active area of research in machine learning, where the aim is to identify the optimal hyperparameters that provide the best performance on the validation set. Hyperparameter tuning is often achieved using naive …
View article: Electronic Health Records in India
Electronic Health Records in India Open
To "push the market" with a roadmap • To inform government policy Progressively sophisticated model … A progressively sophisticated roadmap that enables … Quality, safety, and Operations efficiencies Process • Stage 1-5 is self assessment …
View article: A Review on Bilevel Optimization: From Classical to Evolutionary\n Approaches and Applications
A Review on Bilevel Optimization: From Classical to Evolutionary\n Approaches and Applications Open
Bilevel optimization is defined as a mathematical program, where an\noptimization problem contains another optimization problem as a constraint.\nThese problems have received significant attention from the mathematical\nprogramming communi…
View article: A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications Open
Bilevel optimization is defined as a mathematical program, where an optimization problem contains another optimization problem as a constraint. These problems have received significant attention from the mathematical programming community.…
View article: An Enhanced Memetic Algorithm for Single-Objective Bilevel Optimization Problems
An Enhanced Memetic Algorithm for Single-Objective Bilevel Optimization Problems Open
Bilevel optimization, as the name reflects, deals with optimization at two interconnected hierarchical levels. The aim is to identify the optimum of an upper-level leader problem, subject to the optimality of a lower-level follower problem…