Past Events
PRiML-PIFODS Seminar
Yuqing Kong (Peking University)
Topic: Eliciting and Aggregating Information without Verification
Friday, September 9th, 2022, 10:00-11:00 am, Zoom
PRiML-PIFODS Seminar
Nihar Shah (CMU)
Topic: Two F-words in Peer Review (Fraud and Feedback)
Friday, September 2nd, 2022, 2:00-3:00 pm, Levine 307
PRiML-PIFODS Seminar
Sujay Sanghavi (University of Texas at Austin)
Topic: Towards Model Agnostic Robustness
Friday, April 30th, 2021, 2:00-3:00 pm, Zoom
PRiML-PIFODS Seminar
Arya Mazumdar (UC San Diego)
Topic: Distributed Optimization under Communication Constraints
Friday, April 23rd, 2021, 3:00-4:00 pm, Zoom
PRiML-PIFODS Seminar
Sham Kakade (University of Washington)
Topic: Towards a Theory of Generalization and Representation in Reinforcement Learning
Friday, March 26th, 2021, 3:00-4:00 pm, Zoom
PRiML-PIFODS Seminar
Percy Liang (Stanford University)
Topic: Surprises in the Quest for Robust Machine Learning
Friday, March 19th, 2021, 3:00-4:00 pm, Zoom
PRiML-PIFODS Seminar
Phil Long (Google)
Topic: Benign Overfitting in Linear Regression and Classification
Friday, February 12th, 2021, 3:00-4:00 pm, Zoom
PRiML-PIFODS Seminar
Clayton Scott (University of Michigan)
Topic: Clustering from Paired Observations
Friday, February 19th, 2021, 3:00-4:00 pm, Zoom
PRiML-PIFODS Seminar
Soheil Feizi (University of Maryland)
Topic: Natural and Adversarial Robustness in Deep Learning
Friday, November 20th, 2020, 3:00-4:00 pm, Zoom
PRiML-PIFODS Seminar
Robert Nowak (University of Wisconsin-Madison)
Topic: New Theory for Active Machine Learning in High-Dimensional and Nonparametric Hypothesis Spaces
Friday, October 23rd, 2020, 3:00-4:00 pm, Zoom
PRiML-PIFODS Seminar
Jianqing Fan (Princeton University)
Topic: An $\ell_p$ theory of PCA and spectral clustering
Friday, October 16th, 2020, 3:00-4:00 pm, Zoom
PRiML-PIFODS Seminar
Anna Gilbert (Yale University)
Topic: Spectral Methods for Ranking with Scarce Data
Friday, September 25th, 2020, 3:00-4:00 pm, Zoom
PRiML-PIFODS Seminar
Suvrit Sra (MIT)
Topic: Accelerated gradient methods on Riemannian manifolds
Friday, September 18th, 2020, 3:00-4:00 pm, Zoom
PRiML-PIFODS Seminar
Kamalika Chaudhuri (University of California San Diego)
Topic: The Mysteries of Adversarial Robustness for Non-parametric Methods and Neural Networks
Friday, September 11th, 2020, 3:00-4:00 pm, Zoom
Statistics Seminar
Shivani Agarwal (University of Pennsylvania)
Topic: Multiclass Learning with General Losses: What is the Right Output Coding and Decoding?
Wednesday, December 4th, 2019, 4:30-5:30 pm, F45 Jon M. Huntsman Hall
Statistics Seminar
Weijie Su (University of Pennsylvania)
Topic: Gaussian Differential Privacy
Wednesday, October 30th, 2019, 4:30-5:30 pm, Jon M. Huntsman Hall
PRiML Seminar
Yuxin Chen (Princeton University)
Topic: Nonconvex Optimization Meets Statistics: A Few Recent Stories
Friday, October 25th, 2019, 3-4 pm, 3401 Walnut St Room 401B
PRiML Seminar
Fernando Pereira (Google)
Topic: Representation Learning and the Challenge of Reasoning
Wednesday, September 25th, 2019, 11 am – 12 pm, Skirkanich Hall, Berger Auditorium
PRiML Seminar
Jacob Abernethy (Georgia Institute of Technology),
Topic: Building Algorithms by Playing Games
Friday, September 13th, 2019, 3-4 pm, 3401 Walnut St Room 401B
CIS Seminar
Chi Jin (University of California, Berkeley),
“Machine Learning: Why Do Simple Algorithms Work So Well? ”
Thursday, March 21st, 2019, 3-4 pm, 3330 Walnut St, Wu and Chen Auditorium
PRiML Seminar
Peter Bartlett (University of California, Berkeley),
“Optimizing probability distributions for learning: sampling meets optimization” [details]
Friday, February 24, 2019, 3-4 pm, 3401 Walnut St Room 401B
Warren Center Lecture
Michael I. Jordan (University of California, Berkeley),
“Machine Learning: Dynamical, Economic and Stochastic Perspectives” [details]
Thursday, November 29th, 2018, 4:30-5:30 pm, 3401 Walnut St Room 401B
CIS Seminar
Le Song (Georgia Tech),
“Representation Learning for Graphs” [details]
Thursday, November 29th, 2018, 3-4 pm, 3330 Walnut St, Wu and Chen Auditorium
PRiML Seminar
Rob Schapire (Microsoft Research, NYC),
“Sample-Efficient Reinforcement Learning with Rich Observations” [details]
Friday, November 16, 2018, 3-4 pm, 3401 Walnut St Room 401B
Statistics Seminar
Rong Ge (Duke)
Wednesday, November 28, 2018, 4:30-5:30 pm, F55 Jon M. Huntsman Hall
CIS Seminar
Jeff Bilmes (University of Washington),
“AI, Information, and the Future of Machine Learning” [details]
Tuesday, November 6, 2018, 3330 Walnut St, Wu and Chen Auditorium
Statistics Seminar
Matus Telgarsky (UIUC),
“Generalization and Optimization of Deep Networks” [details]
Wednesday, October 17, 2018, 4:30-5:30 pm, F55 Jon M. Huntsman Hall
Statistics Seminar
Ambuj Tewari (University of Michigan),
“Random Perturbations in Machine Learning” [details]
Wednesday, October 10, 2018, 4:30-5:30 pm, F55 Jon M. Huntsman Hall
PRiML Spotlight Talks
PRiML Community, 12 spotlight talks [details]
Friday, September 28, 2018, 3-4 pm, 3401 Walnut St Room 401B
Harold Pender Award Lecture
Yann LeCun (New York University and Facebook), “Could Machines Be More Like Humans?” [details]
Wednesday, September 19, 2018, 4-5 pm, Glandt Forum at Singh Center for Nanotechnology
PRiML Seminar
Sanjoy Dasgupta (University of California, San Diego), “Using interaction for simpler and better learning” [details]
Friday, April 27, 2018, 3-4 pm, 3401 Walnut St Room 401B
PRiML Seminar
Vitaly Feldman (Google Brain), “Stability and Generalization in Adaptive Data Analysis” [details]
Friday, April 13, 2018, 3-4 pm, 3401 Walnut St Room 401B
PRiML Seminar
Jianbo Shi (University of Pennsylvania), “Curiosity Driven First Person Embodied Cognition” [details]
Friday, February 23, 2018, 3-4 pm, 3401 Walnut St Room 401B
PRiML Seminar
Weijie Su (University of Pennsylvania), “HiGrad: Statistical Inference for Stochastic Approximation and Online Learning” [details]
Friday, January 26, 2018, 3-4 pm, 3401 Walnut St Room 401B
PRiML Seminar
Hamed Hassani (University of Pennsylvania), “K-Means: A Nonconvex Problem with Fast and Provable Algorithms” [details]
Friday, November 17, 3-4 pm, 3401 Walnut St Room 401B
PRiML Scholars’ Seminar
Luiz Chamon (University of Pennsylvania), “Approximate Supermodularity Bounds for Experimental Design”
Anupama Jha (University of Pennsylvania), “Integrative Deep Models for Alternative Splicing” [details]
Friday, October 27, 3-4 pm, 3401 Walnut St Room 401B
PRiML Scholars’ Seminar
Santiago Paternain (University of Pennsylvania), “A Second Order Method for Nonconvex Optimization”
Arpit Agarwal (University of Pennsylvania), “Learning with Limited Rounds of Adaptivity: Coin Tossing, Multi-Armed Bandits, and Ranking from Pairwise Comparisons” [details]
Friday, October 13, 3-4 pm, 3401 Walnut St Room 401B
PRiML Spotlight Talks
PRiML Community, 11 spotlight talks [details]
Friday, September 15, 3-4 pm, 3401 Walnut St Room 401B
