MLconf NYC 2024 Conference Agenda
8:00- 8:55
Registration
8:55-9:00
Opening Remarks
9:00-9:40
Emily Pitler: Representations from natural language data: successes and challenges
9:40-10:05
Anna Choromanska: Data-driven challenges in AI: scale, information selection, and safety:
10:05-10:30
Neel Sundaresan: Teaching a Machine to Code:
10:30-10:50
Esperanza Lopéz Aguilera: Using a Bayesian Neural Network in the Detection of Exoplanets:
10:50-11:05
Coffee & Networking Break *Coffee Sponsored by SparkBeyond
11:05-11:30
Soumith Chintala: Increasing the Impact of AI Through Better Software:
11:30-11:50
Amir Sadoughi: Developing large-scale machine learning algorithms on Amazon SageMaker:
11:50-12:10
Renaud Bourassa: Building Machine Learning Models with Strict Privacy Boundaries
12:10-12:30
Rishabh Mehrotra: Recommendations in a Marketplace: Personalizing Explainable Recommendations with Multi-objective Contextual Bandits
12:30-2:00
Lunch Break & Networking
1:00-1:20
Alexandra Johnson: Reducing Operational Barriers to Model Training
1:30-1:50
Roy Lowrance: Predicting Bond Prices: Regime Changes
2:00-2:25
Madalina Fiterau: Hybrid Machine Learning Methods for the Interpretation and Integration of Heterogeneous Multimodal Data:
2:25-2:50
Sandhya Prabhakaran: A Bayesian Approach To Model Overlapping Objects Available As Distance Data:
2:50-3:10
Liliana Cruz-Lopez: Deep Reinforcement Learning based Insulin Controller for Effective Type-1 Diabetic Care:
3:10-3:30
Kerry Weinberg: Putting the Tech in Biotech: Challenges and Opportunities in Application of AI in Healthcare
3:30-3:50
Coffee & Networking Break **Coffee Sponsored by SparkBeyond
3:50-4:15
Nitin Sharma: Deep Learning Applications to Online Payment Fraud Detection
4:15-4:40
Janani Kalyanam: Machine Learning to Detect Illegal Online Sales of Prescription Opioids
4:40-5:05
LeAnna Kent: Using Network Analysis to Detect Kickback Schemes Among Medical Providers
5:05-5:30
Niels Bantilan: Augmenting Mental Health Care in the Digital Age: Machine Learning as a Therapist Assistant
5:30-6:00
Event Conclusion