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07/04/2023
Accelerated stochastic approximation with state-dependent noise
We consider a class of stochastic smooth convex optimization problems un...
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06/26/2023
Elucidating Interfacial Dynamics of Ti-Al Systems Using Molecular Dynamics Simulation and Markov State Modeling
Due to their remarkable mechanical and chemical properties, Ti-Al based ...
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04/09/2023
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training
Learning with large-scale unlabeled data has become a powerful tool for ...
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09/03/2022
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition
The goal of fine-grained action recognition is to successfully discrimin...
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07/20/2022
ERA: Expert Retrieval and Assembly for Early Action Prediction
Early action prediction aims to successfully predict the class label of ...
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05/11/2022
Stochastic first-order methods for average-reward Markov decision processes
We study the problem of average-reward Markov decision processes (AMDPs)...
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12/24/2021
Accelerated and instance-optimal policy evaluation with linear function approximation
We study the problem of policy evaluation with linear function approxima...
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10/20/2021
Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process
The problem of constrained Markov decision process (CMDP) is investigate...
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08/18/2021
The Multi-Modal Video Reasoning and Analyzing Competition
In this paper, we introduce the Multi-Modal Video Reasoning and Analyzin...
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04/02/2021
UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
Human behavior understanding with unmanned aerial vehicles (UAVs) is of ...
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11/15/2020
Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning
The focus of this paper is on stochastic variational inequalities (VI) u...
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11/05/2020
