02:12

CSA Alumni Meet 20th Dec 2024

54:51

Characterizations of threshold classifiers, by Mohit Sharma

01:02:50

A Primer on Distributed Computing, by Sagnik Mukhopadhyay Part 2

01:03:08

A Primer on Distributed Computing, by Sagnik Mukhopadhyay Part 1

58:43

Studies in Decision-Making, by Kavya Ravichandran

01:07:16

Uncertainty Quantification for Large Language Models, by Shubhendu Trivedi

01:32:23

Inapproximability of Sparsest Vector in a Real Subspace, by Vijay Bhattiprolu

47:11

Feature Tracking and Visual Analysis of Temporal Scalar Fields in the Ocean by Upkar Singh

59:16

Making Quantum Query Algorithms Robust to a Faulty Oracle, by Manaaswi Parashar

49:13

Outlier Robust Multivariate Polynomial Regression by Vipul Arora

01:05:23

Piercing axis-parallel boxes with axis-parallel k-flats by Soumi Nandi

01:06:01

Hardness of Packing Simple Polygons with Unit Squares, by Jack Tor Stade

59:39

Efficient Statistics with Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians

01:05:45

Constant-Factor Approximation Algorithms for Convex Cover and Hidden Set in a Simple Polygon

01:03:30

Advances and Challenges in Fair Division: Quantiles, Subsidies, and Randomization, by Vishnu Narayan

01:08:44

Covering a graph with dense subgraphs: theory and some practice, by Sabyasachi Basu

01:13:47

Linear Time Streaming Algorithms for Heavy Tailed Statistics by Aniket Das

49:38

Fast Algorithms and Data Structures for Regression, by Deeksha Adil

32:14

Art of Computing - Algorithmic Sports by Rahul Saladi | Feb 17th

53:29

Controlling Distributed Optimization from a Stochastic Oracle, by Adit Jain

01:00:00

Scheduling with cardinality dependent unavailability periods, by G Jaykrishnan

01:03:07

Leveraging Large Language Models for Causal Inference, by Rohit Bhattacharya

01:09:26

Interplay of submodularity and randomness, by Arjun Ramachandra

01:07:10

Ticketed Learning-Unlearning Schemes by Ayush Sekhari (MIT, Boston)

59:46

Distinct Elements in Streams and the Klee's Measure Problem by Sourav Chakraborty (ISI Kolkata)

01:05:30

Fourier Growth for Communication Protocols for XOR functions, by Uma Girish

59:05

Optimal PAC Bounds without Uniform Convergence, by Abhishek Shetty

01:03:39

The Rate of Interactive Codes Is Bounded Away from 1, by Raghuvansh Saxena

55:28

Locally Stationary Distributions: A Framework for Analyzing Slow-Mixing Markov Chains

01:02:01

List decoding and Higher Order MDS codes, by Manik Dhar

01:05:41

On MAP Inference of Ferromagnetic Potts models and Nonsymmetric Determinantal Point Processes

01:06:40

Topological Structures and Operators for Bivariate Data Visualization by Mohit Sharma

34:29

Exploring Fairness and Causality in Online Decision-Making by Vishakha Patil

01:05:10

PAC Bounds and Intractability for Learning from Label Proportions, by Rishi Saket

57:46

Optimized Distribution of Quantum Circuits by Ranjani Sundaram (Stony Brook University)

01:16:21

Offline Data Enhanced On-Policy Policy Gradient by Ayush Sekhari (MIT, Boston)

01:12:28

Tensor field visualization - Simple visualizations for complex data? by Prof Ingrid Hotz

01:43:17

"Ask Me Anything" events about programs at CSA Department, IISc - March 6th 2024

01:35:35

"Ask Me Anything" events about programs at CSA Department, IISc - March 4th 2024

01:05:17

Attack of the Killer Microseconds by Dr. Thomas F. Wenisch Director, Google, Mountain View

53:10

Title: Robust Reinforcement Learning using Offline Data by Kishan Panaganti (Caltech)

57:46

Optimized Distribution of Quantum Circuits by Ranjani Sundaram (Stony Brook University)

01:04:01

Query-Efficient Algorithms to Find the Unique Nash Equilibrium in a Two-Player Zero-Sum Matrix Game

00:47

CSA IISc Open Day 2024

01:05:02

Provably Learning a Multi-head Attention Layer by Sitan Chen (Harvard)

01:12:08

Best of Both Worlds in Fair Division by Rohit Vaish (IIT Delhi)

02:03:16

Tenth Part of Lecture Series on Causality by Dr. Karthikeyan Shanmugam

01:08:04

Designing ICTs for low-literate users by Dr. Indrani Medhi

01:01:43

The Sampling Problem Through The Lens of Optimization : Recent Advances and Insights by Aniket Das

01:46

🎓✨ Calling all CSA Alums! Join us for a trip down memory lane at the CSA Alumni Meet 2023 🌐✨

01:55:44

Ninth Part of Lecture Series on Causality by Dr. Karthikeyan Shanmugam

01:00:49

Detecting Hidden Communities by Power Iterations with Connections to Vanilla Spectral Algorithms

01:10:22

Hardness of Approximation of Diameter Clustering by Karthik C. S. (Rutgers University)

01:58:57

Eighth Part of Lecture Series on Causality by Dr. Karthikeyan Shanmugam

01:53:30

Seventh Part of Lecture Series on Causality by Dr. Karthikeyan Shanmugam

56:43

Sample Complexity of Distinguishing Cause from Effect by Saravanan Kandasamy (Cornell University)

56:31

Approximation Algorithms for Network Design in Non-Uniform Fault Models by Prof. Chandra Chekuri

02:17:55

Sixth Part of Lecture Series on Causality by Dr. Karthikeyan Shanmugam

01:55:02

Fifth Part of Lecture Series on Causality by Dr. Karthikeyan Shanmugam

01:40:44

Fourth Part of Lecture Series on Causality by Dr. Karthikeyan Shanmugam