Upcoming Events

Upcoming Events

CSML Machine Learning Lunchtime Seminar Series
Tue, Mar 5, 2024, 12:15 pm1:20 pm

Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM

Location
Bendheim House 103
CSML Machine Learning Lunchtime Seminar Series
Tue, Apr 9, 2024, 12:15 pm1:20 pm

Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM

Location
Bendheim House 103
Speaker
CSML Machine Learning Lunchtime Seminar Series
Tue, Apr 23, 2024, 12:15 pm1:20 pm

Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM

Location
Bendheim House 103
Speaker
CSML Machine Learning Lunchtime Seminar Series
Tue, May 7, 2024, 12:15 pm1:20 pm

Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM

Location
Bendheim House 103
Speaker

Events Archive

Towards more human-like learning in machines: Bridging the data and generalization gaps

Lunch available from 12:15pm.

Please RSVP to [email protected] by February 22nd to participate in lunch.

If you wish to participate via Zoom Webinar, we ask that you please register prior to attending.

Location
Computer Science 105
Speaker
CSML Machine Learning Lunchtime Seminar Series

RSVP to [email protected]

Lunch available beginning at 12:15 PM
Speaker to begin at 12:30 PM

Location
Bendheim House 103
Speaker
Winter Session: What is Machine Learning, and Can it Aid my Research?

The Center for Statistics and Machine Learning is offering a three hour Wintersession workshop which aims to increase awareness of how machine learning could aid faculty, postdoc, and student research. No detailed prior knowledge of machine learning is assumed. The workshop will begin with an overview of crucial machine learning ideas and…

Fusing Deep Learning and Optimization

The fusion of deep learning and optimization has the potential to deliver outcomes for engineering applications that the two technologies cannot achieve independently. This talk illustrates this potential with the concept of optimization proxy, a differentiable program that can produce feasible (or near-feasibel) and near-optimal solutions to…

Location
101 Sherrerd Hall
Speaker
Machine Learning in Physics

A new seminar hosted jointly between Physics and ORFE focusing on interdisciplinary work at the intersection of physics and machine learning.

What? A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications

Location
Jadwin Hall A10
Speakers
Algorithms and Incentives in Machine Learning

Abstract:

Machine learning designs approaches that transform data to predictions or estimations. The standard paradigm often assumes these data are objectively generated from distributions, without being affected by any human factors. However, this paradigm ceases to be true when our predictions or estimated…

Location
B205 Engineering Quadrangle
Speaker
CITP Virtual Seminar: Miranda Bogen – Closing the Gap: Navigating Complexities and Contradictions In the Mitigation of Algorithmic Bias

This webinar is open to all via Zoom.

Dozens of policy proposals and interventions have attempted to address actual and potential cases of algorithmic bias, particularly in systems that have consequential effects on people’s lives. While these proposals commonly…

Location
Virtual
Machine Learning in Physics

A new seminar hosted jointly between Physics and ORFE focusing on interdisciplinary work at the intersection of physics and machine learning.

What? A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications

Location
Jadwin Hall A10
Speakers
LLM Forum: Wai Chee Dimock with Meredith Martin (topic: culture)

Recent breakthroughs in Artificial Intelligence (AI) have produced a new class of neural networks called Large Language Models (LLMs) that demonstrate a remarkable capability to generate fluent, plausible responses to prompts posed in natural language. While LLMs have already revolutionized certain industry applications, the recent debut of…

Location
Friend Center 101
Speakers
Machine Learning in Physics

A new seminar hosted jointly between Physics and ORFE focusing on interdisciplinary work at the intersection of physics and machine learning.

What? A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications

Location
Jadwin Hall A10
Speakers