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08/22/2023
Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test
Large language models such as Open AI's Generative Pre-trained Transform...
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07/17/2023
Towards Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models
Stochastic optimization (SO) attempts to offer optimal decisions in the ...
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06/19/2023
Differentially Private Synthetic Data Using KD-Trees
Creation of a synthetic dataset that faithfully represents the data dist...
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04/11/2023
Financial Time Series Forecasting using CNN and Transformer
Time series forecasting is important across various domains for decision...
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12/12/2022
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe
Hawkes processes have recently risen to the forefront of tools when it c...
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11/21/2022
Learn to explain yourself, when you can: Equipping Concept Bottleneck Models with the ability to abstain on their concept predictions
The Concept Bottleneck Models (CBMs) of Koh et al. [2020] provide a mean...
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11/07/2022
Towards learning to explain with concept bottleneck models: mitigating information leakage
Concept bottleneck models perform classification by first predicting whi...
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10/13/2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations
We study a game between liquidity provider and liquidity taker agents in...
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09/30/2022
ASPiRe:Adaptive Skill Priors for Reinforcement Learning
We introduce ASPiRe (Adaptive Skill Prior for RL), a new approach that l...
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08/16/2022
Online Learning for Mixture of Multivariate Hawkes Processes
Online learning of Hawkes processes has received increasing attention in...
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07/27/2022
Differentially Private Learning of Hawkes Processes
Hawkes processes have recently gained increasing attention from the mach...
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02/17/2022
A Survey of Explainable Reinforcement Learning
Explainable reinforcement learning (XRL) is an emerging subfield of expl...
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01/11/2022
Structure with Semantics: Exploiting Document Relations for Retrieval
Retrieving relevant documents from a corpus is typically based on the se...
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12/06/2021
Simulation Intelligence: Towards a New Generation of Scientific Methods
The original "Seven Motifs" set forth a roadmap of essential methods for...
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11/11/2021
Synthetic Document Generator for Annotation-free Layout Recognition
Analyzing the layout of a document to identify headers, sections, tables...
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10/27/2021
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets
Model-free Reinforcement Learning (RL) requires the ability to sample tr...
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10/27/2021
Parameterized Explanations for Investor / Company Matching
Matching companies and investors is usually considered a highly speciali...
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10/05/2021
Tradeoffs in Streaming Binary Classification under Limited Inspection Resources
Institutions are increasingly relying on machine learning models to iden...
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07/02/2021
Visual Time Series Forecasting: An Image-driven Approach
In this work, we address time-series forecasting as a computer vision ta...
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05/21/2021
Waiting Tables as a Robot Planning Problem
We present how we formalize the waiting tables task in a restaurant as a...
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05/09/2021
Advising Agent for Service-Providing Live-Chat Operators
Call centers, in which human operators attend clients using textual chat...
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02/25/2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
Current work in explainable reinforcement learning generally produces po...
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02/25/2021
Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time
We present the theoretical analysis and proofs of a recently developed a...
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02/24/2021
Deep Video Prediction for Time Series Forecasting
Time series forecasting is essential for decision making in many domains...
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01/06/2021
Playing with Food: Learning Food Item Representations through Interactive Exploration
A key challenge in robotic food manipulation is modeling the material pr...
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11/18/2020
Visual Forecasting of Time Series with Image-to-Image Regression
Time series forecasting is essential for agents to make decisions in man...
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11/03/2020
Domain-independent generation and classification of behavior traces
Financial institutions mostly deal with people. Therefore, characterizin...
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11/03/2020
Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering
Many business applications involve adversarial relationships in which bo...
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10/23/2020
Robust Document Representations using Latent Topics and Metadata
Task specific fine-tuning of a pre-trained neural language model using a...
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10/12/2020
SURF: Improving classifiers in production by learning from busy and noisy end users
Supervised learning classifiers inevitably make mistakes in production, ...
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10/09/2020
Paying down metadata debt: learning the representation of concepts using topic models
We introduce a data management problem called metadata debt, to identify...
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10/02/2020
AI pptX: Robust Continuous Learning for Document Generation with AI Insights
Business analysts create billions of slide decks, reports and documents ...
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06/23/2020
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games
Training multi-agent systems (MAS) to achieve realistic equilibria gives...
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06/23/2020
Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty
We introduce a novel framework to account for sensitivity to rewards unc...
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05/12/2020
Guaranteeing Reproducibility in Deep Learning Competitions
To encourage the development of methods with reproducible and robust tra...
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04/27/2020
Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users
Document classification is ubiquitous in a business setting, but often t...
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04/14/2020
Latent Bayesian Inference for Robust Earnings Estimates
Equity research analysts at financial institutions play a pivotal role i...
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04/09/2020
Heuristics for Link Prediction in Multiplex Networks
Link prediction, or the inference of future or missing connections betwe...
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12/10/2019
Get Real: Realism Metrics for Robust Limit Order Book Market Simulations
Machine learning (especially reinforcement learning) methods for trading...
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11/28/2019
Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning
In this work we explore the use of latent representations obtained from ...
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11/14/2019
Reinforcement Learning for Market Making in a Multi-agent Dealer Market
Market makers play an important role in providing liquidity to markets b...
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10/24/2019
A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game
As robots are increasingly endowed with social and communicative capabil...
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09/27/2019
Leveraging Multimodal Haptic Sensory Data for Robust Cutting
Cutting is a common form of manipulation when working with divisible obj...
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07/29/2019
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
The sample inefficiency of standard deep reinforcement learning methods ...
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07/23/2019
Trading via Image Classification
The art of systematic financial trading evolved with an array of approac...
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07/22/2019
The Effect of Visual Design in Image Classification
Financial companies continuously analyze the state of the markets to ret...
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07/02/2019
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy
There is a growing desire in the field of reinforcement learning (and ma...
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05/28/2019
Generation of Policy-Level Explanations for Reinforcement Learning
Though reinforcement learning has greatly benefited from the incorporati...
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04/22/2019
The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors
Though deep reinforcement learning has led to breakthroughs in many diff...
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12/18/2018
